“AI in Fashion: Revolutionizing Design, Shopping, and Sustainability for a Smarter Future”

The Future of Fashion: How Artificial Intelligence is Revolutionizing the Industry

In recent years, the fashion industry has witnessed a significant transformation, thanks to the integration of Artificial Intelligence (AI). This cutting-edge technology is not just a buzzword; it’s a game-changer that is reshaping how designers create, how brands market, and how consumers shop.

AI in Design and Production

One of the most exciting applications of AI in fashion is in the design and production process. Traditional methods of creating garments often involve numerous iterations, which can be time-consuming and costly. However, with AI, designers can now leverage advanced algorithms to predict trends, generate design ideas, and even simulate how fabrics will drape on a virtual model. Companies like Style3D are at the forefront of this innovation, offering tools that allow designers to create and visualize garments in a 3D space before they are physically produced.

Personalized Shopping Experiences

AI is also revolutionizing the way consumers shop for fashion. By analyzing vast amounts of data, AI can provide personalized recommendations based on a shopper’s preferences, past purchases, and even their body type. This level of customization not only enhances the shopping experience but also increases customer satisfaction and loyalty. Imagine walking into a virtual store where every item displayed is tailored to your unique style—this is the future that AI is making possible.

Sustainability and Ethical Fashion

Another critical area where AI is making a significant impact is in promoting sustainability and ethical fashion. The fashion industry is one of the largest polluters globally, but AI can help mitigate this by optimizing supply chains, reducing waste, and improving resource management. For instance, AI can predict demand more accurately, ensuring that only the necessary amount of fabric is produced, thereby minimizing waste. Additionally, AI can help brands track the ethical sourcing of materials, ensuring that their products are made under fair labor conditions.

Challenges and Future Prospects

While the benefits of AI in fashion are undeniable, there are also challenges that need to be addressed. Data privacy concerns, the high cost of implementing AI technologies, and the need for skilled professionals are some of the hurdles that the industry must overcome. However, as technology continues to evolve, these challenges are likely to be mitigated, paving the way for even more innovative applications of AI in fashion.

In conclusion, Artificial Intelligence is not just a trend; it’s a transformative force that is here to stay. From design and production to personalized shopping and sustainability, AI is reshaping the fashion industry in ways that were once unimaginable. As we move forward, it’s exciting to think about the endless possibilities that AI will bring to the world of fashion.

Keyword: 3d ap style

“AI Meets Couture: How Artificial Intelligence is Redefining the Future of Fashion”

The Future of Fashion: How Artificial Intelligence is Revolutionizing the Industry

In recent years, the fashion industry has witnessed a significant transformation, thanks to the integration of Artificial Intelligence (AI). From design to production, AI is reshaping how fashion brands operate, making processes more efficient, sustainable, and innovative.

AI in Fashion Design

One of the most exciting applications of Artificial Intelligence in fashion is in the design process. AI-powered tools can analyze vast amounts of data, including consumer preferences, market trends, and historical sales data, to predict what styles will be popular in the future. This allows designers to create collections that are more likely to resonate with their target audience.

Virtual Prototyping and 3D Design

Another groundbreaking application of Artificial Intelligence is in virtual prototyping and 3D design. Platforms like Style3D are leveraging AI to enable designers to create digital prototypes of garments, reducing the need for physical samples. This not only speeds up the design process but also significantly cuts down on waste, making fashion more sustainable.

Personalized Shopping Experiences

AI is also revolutionizing the way consumers shop for fashion. By analyzing customer data, AI algorithms can provide personalized recommendations, ensuring that shoppers find exactly what they’re looking for. This level of personalization enhances the shopping experience, leading to higher customer satisfaction and loyalty.

Supply Chain Optimization

In the realm of supply chain management, Artificial Intelligence is being used to optimize inventory levels, predict demand, and streamline logistics. AI-powered systems can analyze data from various sources to make real-time decisions, reducing costs and improving efficiency.

Conclusion

The integration of Artificial Intelligence into the fashion industry is not just a trend; it’s a fundamental shift that is here to stay. As AI continues to evolve, we can expect even more innovative applications that will further transform the way we design, produce, and consume fashion. The future of fashion is intelligent, and it’s happening now.

AI in Fashion: Redefining Design, Shopping, and Sustainability for the Future

The Future of Fashion: How Artificial Intelligence is Revolutionizing the Industry

The fashion industry is undergoing a transformative shift, thanks to the integration of Artificial Intelligence (AI). From design to production, AI is reshaping how fashion brands operate, making processes faster, more efficient, and incredibly innovative.

Designing with Precision

One of the most exciting applications of Artificial Intelligence in fashion is in the design phase. AI-powered tools can analyze vast amounts of data, including current trends, consumer preferences, and historical sales data, to predict what styles will be popular in the future. This allows designers to create collections that are not only stylish but also highly marketable.

Virtual Prototyping

Gone are the days when fashion designers had to create multiple physical prototypes before finalizing a design. With Artificial Intelligence, virtual prototyping has become a reality. Designers can now create digital models of their designs, allowing them to visualize how a garment will look and fit without the need for physical samples. This not only saves time but also reduces waste, making the fashion industry more sustainable.

Personalized Shopping Experiences

AI is also revolutionizing the way consumers shop for fashion. By analyzing a customer’s browsing history, purchase behavior, and even social media activity, Artificial Intelligence can provide personalized recommendations that are tailored to individual tastes. This level of personalization enhances the shopping experience, making it more enjoyable and efficient for consumers.

Supply Chain Optimization

The fashion supply chain is complex, involving multiple stages from raw material sourcing to final product delivery. Artificial Intelligence can optimize this process by predicting demand, managing inventory, and even identifying potential bottlenecks before they occur. This ensures that fashion brands can meet consumer demand without overproducing, reducing waste and improving profitability.

Conclusion

The integration of Artificial Intelligence into the fashion industry is not just a trend; it’s a revolution. From design to production to retail, AI is making the fashion industry more efficient, sustainable, and consumer-friendly. As technology continues to advance, the possibilities for AI in fashion are endless, promising a future where creativity and innovation know no bounds.

54 Youth Day

Elegant and Unique Braided Green Glass Pearl Necklace

54 Youth Day

Youth Day is a holiday celebrated annually on May 4 in the Peoples Republic of China, in honor of young age 14 and older.

The Youth Day originated from the"May Forth Movement" in China's anti imperialist patriotism in 1919, it is the beginning of the new democratic revolution in China. In 1939, the Youth salvation Federation stipulated May 4th as the Youth Day.

During the Youth Day, rich and colorful commemorative activities are held in all parts of China, and young people will concentrate on various social voluntary and social practice activities, such as volunteering in nursing homes or helping traffic coordinators maintain traffic order. Many high school will hold a coming of age ceremony called Guan Li for junior students who are graduating shortly after the Youth Day.

In recently years, the Republican style has become prevalent in universities. Many university students wear the student uniforms of those during the time of the Republic of China, as a way of celebration.

Contact

Company:Luoyang EFANT Precision Bearing Manufacturing Co. Ltd

Address:No.11 Sanxi Road, Jianxi Industrial Park, Luoyang, Henan, China, 471003

Tel:86-379-80887690

[email protected]

https://www.efindbearing.com

Laser Welding Process: A Detail Explained

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Manufacturers use different fabrication technologies, such as laser welding, to join materials in various applications. Laser beam welding techniques offer high welding speed, low thermal stress, and precise control compared to traditional welding techniques.

This article discusses the laser welding process, its types, working principles, and compatible materials. Let’s dive in!

Contents
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I
What is Laser Welding?

II
How Does Laser Welding Work?

III
Types of Laser Welding Processes

IV
What Materials Can Be Joined with Laser Welding?

V
Components of Laser Welding Equipment

VI
Different Laser Machines Used for Welding

VII
Advantages of Laser Welding

VIII
Limitations of Laser Welding

IX
Factors Affecting the Laser Welding Process

X
Applications of Laser Welding in Metal Fabrication

XI
Conclusion

XII
FAQ

What is Laser Welding?

Laser welding is a versatile fabrication technique that uses a laser beam to weld or join different metals and composites. Laser beam welding is the advanced sheet metal welding process commonly used across industries.

The laser beam is usually focused on the workpiece, heating it to a melting point. The welded material fuses with the adjacent material forming a solid joint. This process’s concentrated light energy focuses on very small spot sizes or areas, enabling precise control of the thermal energy and welding process.

How Does Laser Welding Work?

First, the laser beam welding machine focuses a highly concentrated light beam on the cavity between two or more materials to create a firm bond. This light concentration occurs at a small spot and ranges from a few tenths of a millimeter to a few millimeters in diameter.

This high-power laser beam concentration contains a high power density. As a result, it delivers massive energy levels that melt the materials at their closures or seams, making it a joint.

Then, the workpiece’s material gradually absorbs the energy from the focused laser beam, heating the workpiece to its melting point. Next, the melted region fuses to form a firm bond between the weld parts.

However, depending on the desired weld quality and welded material, you can perform laser welding in continuous or pulsed mode. Laser welding in continuous mode is ideal for welding thicker materials, while the pulsed mode suits thinner materials.

Types of Laser Welding Processes

While mig and tig welding are popular methods, there are several laser welding techniques that are useful for different applications. They include the following:

1. Keyhole Welding

Keyhole welding involves using a laser beam that heats the workpiece’s surface to the point of vaporization, infiltrating deeply into the material. This welding process forms a keyhole with a plasma-like feature. This welding technique is suitable with a high-power laser beyond 105W/mm2, and the temperature often rises above 10,000k.

2. Laser Brazing

The laser brazing technique involves concurrently using a laser beam to heat a workpiece with the filler material. This process forms a firm bond between the materials using filler materials like copper or silver. It is suitable for joining two dissimilar metals.

In addition, low-temperature brazing makes the welded material less susceptible to distortion. Industries such as automotive use laser brazing to join steel with aluminum.

3. Hybrid Welding

This welding technique joins laser beam welding with other methods, such as GTAW (Gas Tungsten Arc Welding) and GMAW (Gas Metal Arc Welding). This ultimately enhances the welding quality and efficiency of the technique by delivering the combined advantages of both methods.

4. Heat Conduction Welding

This process uses a laser beam that heats the material surface beyond the material’s melting point. It is an ideal welding technique for applications where high weld strength is not a primary requirement. The heat conduction welding process uses a low-power laser precisely below 500W. It creates a regular and aesthetically appealing weld.

5. Percussion Welding

Percussion welding involves pulsing the laser beam at a high frequency to melt and fuse the welded materials quickly. This welding method suits materials with varying melting points and thermal properties. In addition, it is perfect for joining dissimilar materials like aluminum and steel.

What Materials Can Be Joined with Laser Welding?

The laser beam welding techniques are versatile and compatible with various materials. Here are some of the typical materials joined with laser welding:

Metals

  • Different aluminum alloy grades;
  • Copper alloys such as bronze and brass;
  • Steel variants such as high-strength alloys, carbon steel, and stainless steel;
  • Titanium alloys are commonly used in medical and aerospace applications;
  • Nickel and its alloys are used in applications including power generation and aerospace.

Plastics

Laser welding applies to specific plastic types like thermoplastics that can melt and solidify repeatedly.

  • Acrylic (PMMA): Its common uses include displays, signage, and medical equipment.
  • Polyvinyl Chloride (PVC): PVC has common uses in medical applications, construction materials, and pipes.
  • Polycarbonate (PC): It is widely used for automotive components, safety equipment, and electrical enclosures.

Composites

It joins composites of varying constituents, such as glass fiber-reinforced polymers (GFRP) or carbon fiber-reinforced polymers (CFRP).

Components of Laser Welding Equipment

Generally, standard laser welding equipment consists of the following essential components.

  • Laser Source: This is a crucial component responsible for laser beam generation. Different laser sources include fiber, CO2, and Nd: YAG lasers.
  • Beam Delivery System: It comprises mirrors and lenses that direct and concentrate the welding laser beam on the material. A typical beam delivery system is paired to a CNC system or fixed to a robotic arm.
  • Cooling System: The cooling system maintains a stable temperature within the laser beam machine. It prevents the laser source and other components from damage due to the significant amount of heat that the laser generates.
  • Workpiece Manipulation System: This system holds the workpiece steady, ensuring the beam creates the required specifications. It provides a stable and precise location for the welded workpiece.
  • Safety Features: Welding materials together can be harmful when safety precautions are not in place. A laser beam welding system’s safety features include warning lights, interlocks, and shielding, which protects the operators and other personnel from the laser beam.
  • Control and Monitoring Systems: These consist of software and hardware that manages the components of the laser beam system. These systems control and monitor different parameters, such as laser power and welding speed, during the welding operation.

Different Laser Machines Used for Welding

1. CO2 lasers

The gas or CO2 laser generates a laser beam with a carbon dioxide (CO2) laser. Manufacturers often employ CO2 lasers because they are efficient and create high-power beams suitable for fabricating thicker materials like plastics, ceramics, and metals.

2. Nd: YAG Laser Welding Machine

Neodymium-doped yttrium aluminum garnet (Nd: YAG) laser uses a solid-state beam in welding workpieces. It generates a high-quality beam suitable for welding thin materials like sheet metal and plastics.

3. Fiber Laser Machine

The fiber laser technique utilizes a fiber-optic cable to deliver the laser beam to the workpiece. Fiber lasers are efficient and can generate a high-quality beam perfect for welding metals and other materials.

4. Hand-Held Laser Welding Machine

This welding machine is a small, compact device that allows joint welding at various locations or angles. They are ideal for applications with mobility and accessibility to hard-to-reach area requirements.

5. Continuous Wave Laser Welding

Continuous wave laser welding machine employs a continuously emitting laser beam to form a continuous weld down the joint. It is ideal for creating high-quality and firm welds and welding thick materials.

6. Pulsed Lasers

The pulsed laser welding machine uses a laser beam produced at a high frequency and delivered at short pulses to make small and controlled welds. It is ideal for joining complex geometries and welding materials with varying thermal properties.

Advantages of Laser Welding

Laser welding is a versatile technique with several advantages in different applications. Here are some of the benefits of laser beam welding.

1. Reducel Thermal Impact

This welding process reduces the risk of thermal distortion in a workpiece since it uses less thermal stress at the weld seam. Laser welding minimizes the heat dispersed to the surrounding material, which could result in negative impacts such as bending or stress.

2. Versatile

Laser beam welding is highly versatile and compatible with different thick plates, precious metals, copper contacts, or dissimilar metals. Its high compatibility with various applications makes it a commonly used sheet metal fabrication method.

3. High Speed

Laser welding techniques can weld up to 5 times faster or more than traditional processes. The high welding speed of this process results in shorter processing times and increased productivity within a limited time.

4. Reliability

Laser welding techniques offer high reliability due to their force-free, non-contact, and wear-free attributes. Likewise, the process offers high strength because of its great welding depths.

Limitations of Laser Welding

1. High Initial Cost

Most laser beam welding equipment is expensive, making the process more costly than other welding techniques. The laser setups cost twice or more than the traditional welding systems. Therefore, it is expensive for low-volume applications and smaller productions.

2. Incompatible with Irregular Workpieces

Laser welding requires a direct line of contact between the laser beam and the joint being welded. Therefore, it is difficult to weld joints in irregularly shaped workpieces.

3. Special Skills and High Labor Costs Requirements

Laser welding techniques require specialized training and expertise to achieve excellent results. As such, it is challenging for smaller manufacturers to use due to its increased labor costs.

Factors Affecting the Laser Welding Process

Here are various factors that may influence the outcome of your laser welding operations.

Laser Power and Energy Density

The laser power directly influences the heat concentrated on the workpiece, determining the weld width and penetration. Generally, lower power levels cause insufficient fusion, while higher power levels allow deeper penetration. The power divided by the beam spot size is the energy density, which determines the density of the laser beam.

Beam Focus and Spot Size

The laser beam’s focus determines the spot size of the workpiece. Besides, deeper penetration and narrower welds occur due to the high energy density created by smaller spot sizes. The main length and spot size impact the shape of the weld bead and the energy dispensation.

Joint Design

The access to the welding area, geometry, and fit-up of the preferred joint’s design affects the process. Hence, the appropriate joint preparation helps to improve the weld’s penetration, quality, and strength.

Material Properties

It would help to know that a material’s thermal expansion coefficient, thermal conductivity, and melting point can impact its welding, influencing parameters like weld quality, speed, and power requirements. Furthermore, materials’ reflectivity and absorption properties vary upon exposure to laser radiation.

Applications of Laser Welding in Metal Fabrication

Automotive

The automotive sector relies on the laser welding process for its cost-effectiveness, quality, and efficiency. It operates in a tool-free mode and usually doesn’t need head replacements. Various automotive components such as engine parts, solenoids, fuel injectors, and air conditioning units are good examples of machining parts using laser welding.

Aerospace

The laser welding method offers the precision the aerospace industry requires in different applications, such as airframes and security metal detectors. Laser welding techniques join lightweight and complex structures made from aluminum, titanium, and other alloys. Welding in the aerospace sector helps to reduce aircraft weight by reducing the use of rivets.

Electronics Industry

Manufacturers in electronics depend on sheet metal cutting and laser welding techniques to create various advanced electronic equipment. Product designers adopt laser welding methods and utilize continuous wave, Dd: YAG, fiber, and pulse laser welders. The welding machines produce precision welds for tiny, advanced electrical components such as sensors, microelectronic components, circuit boards, specific transistors, and control units.

Jewelry and Watchmaking

The Jewelry industry employs laser welding to produce and repair products with complex and fragile designs. It joins precious metals like gold and platinum, minimizing discoloration and distortion. This industry uses a “free moving” welding concept, making the operation relatively easy and safe. The laser beam maintains a fixed position while the operator safely turns the jewelry, ring, or bracelets before the beam.

Conclusion

The laser welding technique is reliable and compatible with vast materials and applications. More importantly, it offers more desirable results than alternate welding methods. However, to determine the right laser welding technique for your products, it is advisable to consider the workpiece material and the preferred results.

WayKen offers a wide range of machining services, such as custom CNC milling, sheet metal fabrication, injection molding, and various surface treatments, to meet all your specific needs. With our advanced equipment and experienced technicians, we can deliver high-quality and precise welding solutions for your machined parts. Just contact us to get started with a new project!

FAQ

Can I cut with a laser welder?

You can use a laser welder to easily cut and weld different sheet materials like aluminum, iron wire, stainless steel, and carbon steel.

What are the common gases used in laser welding processes?

Nitrogen, helium, and argon are the common shield gases used in laser beam welding operations.

Is the laser welding process costly to operate?

Although laser welders are more expensive than traditional welding tools and machines, they are more efficient and user-friendly than traditional machines.

RU297X Cross Roller Bearingshave been shipped to Auatralia

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RU297X Cross Roller Bearings have been shipped to Auatralia

Material: GCr15&GCr15SiMn

Precision: P2,P4,P5

Processing: Lathing, milling,grinding,drilling
Heat treatment: quenching or tempering

Certification: ISO SGS

Our RU297X cross rollr bearings are a type of rolling element bearing that have cylindrical rollers arranged in a cross configuration between inner and outer rings. They are designed to handle both radial and axial loads while maintaining high rotational accuracy.

Our main products are RB, RA, CRBH, SX, RU, XU, XSU series crossed cylindrical roller bearings, YRT, YRTS, ZKLDF series rotary table bearings. Many models are bulk on the stock.

Please feel free to contact us if you have any requirements.

Contact

Company:Luoyang EFANT Precision Bearing Manufacturing Co. Ltd

Address:No. 9 Jingjin North Rd, Luoxin Development Zone, 

Xin'an County, Luoyang City, Henan Province 471003, China

Tel:86-379-80887690

[email protected]

https://www.efindbearing.com

AI in Fashion: How Artificial Intelligence is Redefining Style and Sustainability

The Future of Fashion: How Artificial Intelligence is Revolutionizing the Industry

In recent years, the fashion industry has witnessed a significant transformation, thanks to the integration of Artificial Intelligence (AI). This cutting-edge technology is not just a buzzword; it’s a game-changer that is reshaping how designers create, how brands market, and how consumers shop.

What is Artificial Intelligence in Fashion?

Artificial Intelligence in fashion refers to the use of machine learning algorithms, data analytics, and computer vision to streamline various processes within the industry. From predictive analytics to virtual try-ons, AI is making waves in every corner of the fashion world.

Key Applications of AI in Fashion

  • Design and Prototyping: AI tools can analyze trends and consumer preferences to assist designers in creating new collections. Platforms like Style3D leverage AI to offer virtual prototyping, reducing the need for physical samples.
  • Personalized Shopping: AI algorithms can analyze a customer’s browsing and purchase history to recommend products that match their style and preferences.
  • Supply Chain Optimization: AI can predict demand, optimize inventory levels, and even suggest the best routes for shipping, ensuring that products reach consumers faster and more efficiently.
  • Sustainability: AI can help brands reduce waste by predicting the exact amount of fabric needed for production, thus minimizing excess and promoting sustainable practices.

Why Style3D is Leading the Way

When it comes to integrating AI into fashion, Style3D is at the forefront. Their innovative platform uses AI to offer virtual design and prototyping solutions that are not only efficient but also environmentally friendly. By reducing the need for physical samples, Style3D is helping brands cut down on waste and speed up the design process.

The Future is Here

The integration of Artificial Intelligence in fashion is no longer a distant dream; it’s a present reality. As technology continues to evolve, we can expect even more groundbreaking applications that will further revolutionize the industry. Whether you’re a designer, a brand, or a consumer, the future of fashion is looking smarter, faster, and more sustainable, thanks to AI.

So, if you’re curious about how AI is shaping the future of fashion, be sure to check out Style3D and see how they’re leading the charge in this exciting new era.

Generated Blog Post Title

The Future of Fashion: How Artificial Intelligence is Revolutionizing the Industry

The fashion industry is undergoing a massive transformation, and at the heart of this change is Artificial Intelligence. From design to production, AI is reshaping how we create, market, and consume fashion.

AI-Powered Design Tools

One of the most exciting applications of Artificial Intelligence in fashion is in the design process. AI-powered tools are enabling designers to create more innovative and personalized designs faster than ever before. These tools can analyze trends, predict consumer preferences, and even generate unique design concepts.

Virtual Try-On and Fit Prediction

Another area where Artificial Intelligence is making waves is in virtual try-on technology. By using advanced algorithms and 3D modeling, AI can accurately predict how a garment will fit on different body types, reducing returns and improving customer satisfaction.

Supply Chain Optimization

Artificial Intelligence is also revolutionizing the fashion supply chain. AI algorithms can optimize production schedules, predict demand, and even identify potential disruptions before they occur. This leads to more efficient operations and reduced waste.

Sustainable Fashion

Perhaps one of the most important impacts of Artificial Intelligence in fashion is its role in promoting sustainability. AI can help brands reduce overproduction, optimize material usage, and create more eco-friendly designs. This is crucial in an industry that has traditionally been one of the largest polluters.

As we look to the future, it’s clear that Artificial Intelligence will continue to play a pivotal role in shaping the fashion industry. From design to production to retail, AI is enabling a more innovative, efficient, and sustainable fashion ecosystem. The possibilities are endless, and we’re only just beginning to scratch the surface of what’s possible.

Sulzer at POWER-GEN Africa 2017

This year’s POWER-GEN Africa event is set to attract speakers and exhibitors from around the world to discuss the prominent issues of the industry and to present the latest innovations. As a leading independent repair specialist and pump manufacturer, Sulzer will be highlighting specialist services on offer to operators of gas turbines and other rotating equipment.

This year the Sandton Convention Center, Johannesburg, South Africa, will be hosting POWER-GEN Africa 2017 from July 18 – 20, where more than 3,000 visitors are expected to attend. Sulzer staff will be available to discuss the latest repair solutions for rotating equipment within the power generating sector on Stand G18.

Throughout the three days of the event there will be informative conference sessions involving more than 100 speakers as well as a large number of leading companies exhibiting the latest innovations in the power generation sector.

Sulzer offers a great deal of expertise in the gas turbine sector with experienced personnel dedicated to the support of the F-class gas turbine market, including the GE, Siemens and Alstom fleets. World class facilities create products such as turbine and compressor blades to the highest specification with support from dedicated field services, technical direction and manufacturing as well as overhaul and refurbishment teams.

At this year’s event, Sulzer staff can also provide information on some of the other services available, such as the repair of generators and motors and the refurbishment of pumps. In addition, Sulzer can manufacture new parts for turbines as well as providing in-house manufacturing and coating technology for compressor blades.

With a worldwide network of service centers including one in Johannesburg, Sulzer is a leading service provider for all brands of rotating equipment including pumps, compressors, turbines, generators and electric motors. These are supported by design, manufacturing and engineering centers that can offer turnkey solutions for the entire power generation market.

Sulzer
www.sulzer.com

China Tianma Bearing takes the lead in developing high-end bearing condition monitoring and health management technology by big data

traditional chinese clothing fabric

On June 6, 2024, the Industrial Development Promotion Center of the Ministry of Industry and Information Technology organized a key project “Facing Big Data” under the national key research and development plan “Manufacturing Basic Technology and Key Components” in Huzhou, Zhejiang, led by Zhejiang Tianma Bearing Group Co., Ltd. Comprehensive performance evaluation meeting of the “High-end Bearing Condition Monitoring and Health Management Technology” project. The expert group believes that the project has completed the tasks and assessment indicators specified in the mission statement and achieved the expected goals.

In order to quickly improve the intelligent operation and maintenance level of China's major equipment, in November 2020, the “High-end Bearing Condition Monitoring and Health Management Technology for Big Data” project led by Zhejiang Tianma Bearing Group Co., Ltd. was listed as a national key research and development plan. “Basic Manufacturing Technology and Key Components” key project. The project leader is Professor Cao Hongrui of Xi'an Jiaotong University. Other participating units include Shijiazhuang Railway University, Huazhong University of Science and Technology, Shanghai Jiao Tong University, Xi'an Jiaotong University, Tsinghua University, Shanghai University of Technology, as well as CRRC Tangshan Locomotive and Rolling Stock Co., Ltd., Shandong CRRC Wind Power Co., Ltd., Zhejiang Heqing Flexible Electronic Technology Co., Ltd.

Over the past three years, the research team has conducted research on the scientific issue of intelligent analysis and diagnosis prediction mechanism of bearing fault information under big data to address the low accuracy of bearing fault diagnosis and difficulty in predicting maintenance of major equipment such as wind power and high-speed trains, and has made breakthroughs in bearing monitoring. High-quality and complete acquisition of heterogeneous big data from multiple sources, construction of health monitoring indicators and dynamic monitoring of changing working conditions, intelligent diagnosis of deep migration of multiple faults in bearings under big data, bearing performance evaluation and life prediction driven by digital twins, remote monitoring and health management Five key technologies, including system cloud-edge collaborative development, completed the project mission objectives and all assessment indicators. The project integrated theoretical methods with key technologies, developed a high-end bearing condition monitoring and health management system, and conducted application verification in 5 companies in the wind power and rail transit industries, promoting the shift from “regular maintenance” to wind power, rail transit and other industries. “Predictive maintenance”. The important achievements, innovation, application prospects and demonstration promotion of the project are as follows:

1. Breakthrough in the preparation technology of flexible composite sensors, and developed bearing prototypes integrating flexible composite sensors, which realizes embedded sensing of vibration, temperature, strain and other signals, solving the problem of small installation space of wind power and high-speed train bearings and difficulty in close proximity of sensors Installation and other issues.

2. Proposed the construction and adaptive adjustment method of variable working condition bearing condition monitoring indicators, developed a multi-source signal collection and monitoring indicator edge computing engineering prototype, and realized the high-speed collection of bearing multi-source signals and the rapid calculation of status indicators. It has the functions of calculating time-domain statistics, frequency-domain statistics, time-frequency domain indicators, time-domain synchronous average indicators, residual signal indicators, differential signal indicators, etc. It has high technical maturity and meets engineering needs. It has been used in Baoji CRRC Times Engineering Machinery Co., Ltd. Companies and other enterprises apply.

3. Proposed intelligent diagnosis and remaining life prediction methods for deep migration of multiple faults in bearings, developed a high-end bearing status remote monitoring and health management system based on a big data cloud platform, and realized intelligent diagnosis of typical bearing faults and prediction of remaining life under complex service conditions. . The research results have been applied and verified in relevant enterprises in the wind power and rail transit industries.

After actual testing, the technical achievements of this project can achieve a false alarm rate and false alarm rate of no more than 10% in early bearing failure monitoring under complex and changeable working conditions, a typical fault diagnosis rate of more than 95%, and a relative error of less than 15% in the prediction of the remaining life of the bearing. %, many indicators have reached the international advanced level in similar technical fields, helping to rapidly improve the intelligent operation and maintenance level of China's major equipment.