+
AI-powered laser welding from TRUMPF boosts auto manufacturing quality
Technology

AI-powered laser welding from TRUMPF boosts auto manufacturing quality

TRUMPF is using artificial intelligence (AI) to increase productivity in automotive manufacturing. The high-tech company has developed an AI solution that checks the quality of components, such as batteries for electric cars, immediately after laser welding, identifies possible defects and enables repairs in the laser welding station. "This enables users to reduce their manufacturing costs because the AI solution can replace other time-consuming quality inspections," says Martin Stambke, the TRUMPF product manager responsible for AI quality inspection. The first customers from the automotive industry are already using the solution in series production and the high-tech company is now presenting it at its in-house exhibition INTECH AI solution suitable for many applications

The solution takes a picture of the weld seam and AI analyses whether it meets the specifications defined by the user for the manufacturing process. The sensor technology generates traceable measurements for the user, enabling transparent quality control without black-box decisions. For example, if the weld is too narrow or too wide, the AI notifies the user while the component is still in the laser cell.

The operator can quickly decide if a repair is necessary, thus ensuring the quality of the weld. This increases first-pass yield, the proportion of components that meet quality standards on the first pass. "This is particularly important for manufacturers of batteries for electric cars, for example, who will have fewer rejects and thus reduce costs," says Stambke. The AI solution is suitable for many other applications, such as welding body parts, hairpins for electric motors or contacts for electronic components. No programming knowledge required

“Customers get an easy-to-use AI tool that integrates seamlessly with the TRUMPF system of lasers, sensors and optics," says Stambke. Users can use the TRUMPF AI without any programming knowledge. All you have to do is train the artificial intelligence before using it. To do this, the user marks correct and incorrect welds in the corresponding image material. For the training process, TRUMPF offers EasyModel AI, a software program that is as easy and intuitive to use as a smartphone app. Only a few training images are required.

TRUMPF is using artificial intelligence (AI) to increase productivity in automotive manufacturing. The high-tech company has developed an AI solution that checks the quality of components, such as batteries for electric cars, immediately after laser welding, identifies possible defects and enables repairs in the laser welding station. This enables users to reduce their manufacturing costs because the AI solution can replace other time-consuming quality inspections, says Martin Stambke, the TRUMPF product manager responsible for AI quality inspection. The first customers from the automotive industry are already using the solution in series production and the high-tech company is now presenting it at its in-house exhibition INTECH AI solution suitable for many applications The solution takes a picture of the weld seam and AI analyses whether it meets the specifications defined by the user for the manufacturing process. The sensor technology generates traceable measurements for the user, enabling transparent quality control without black-box decisions. For example, if the weld is too narrow or too wide, the AI notifies the user while the component is still in the laser cell. The operator can quickly decide if a repair is necessary, thus ensuring the quality of the weld. This increases first-pass yield, the proportion of components that meet quality standards on the first pass. This is particularly important for manufacturers of batteries for electric cars, for example, who will have fewer rejects and thus reduce costs, says Stambke. The AI solution is suitable for many other applications, such as welding body parts, hairpins for electric motors or contacts for electronic components. No programming knowledge required “Customers get an easy-to-use AI tool that integrates seamlessly with the TRUMPF system of lasers, sensors and optics, says Stambke. Users can use the TRUMPF AI without any programming knowledge. All you have to do is train the artificial intelligence before using it. To do this, the user marks correct and incorrect welds in the corresponding image material. For the training process, TRUMPF offers EasyModel AI, a software program that is as easy and intuitive to use as a smartphone app. Only a few training images are required.

Next Story
Infrastructure Transport

Cabinet Clears Rs 15.07 Bn Greenfield Airport Project in Kota-Bundi

The Cabinet Committee on Economic Affairs, chaired by Prime Minister Narendra Modi, has approved the Airports Authority of India’s (AAI) proposal for the development of a Greenfield Airport at Kota-Bundi, Rajasthan, at an estimated cost of Rs 15.07 billion.Kota, located on the banks of the Chambal River, is widely recognised as the industrial capital of Rajasthan and a prominent educational coaching hub. To support the region’s growing needs, the Government of Rajasthan has handed over 440.06 hectares of land to AAI for the project.The new Greenfield Airport will be designed to handle oper..

Next Story
Infrastructure Urban

Govt may extend MSME NPA classification period to 180 days

The Union government is considering a proposal to extend the non-performing asset (NPA) classification period for loans to micro, small and medium enterprises (MSMEs) from the existing 90 days to 180 days, according to a senior government official who requested anonymity.“The proposal to extend the loan default period for MSMEs from 90 days to 180 days is likely to be taken up by the Cabinet soon,” the official said.The move is expected to provide relief to cash-strapped MSMEs, especially against the backdrop of steep US tariffs, giving them more time to regularise their loan repayments.Ne..

Next Story
Infrastructure Urban

FedEx, IIT Madras Launch SMART Centre for Sustainable, AI-led Logistics

FedEx has partnered with the Indian Institute of Technology (IIT) Madras to inaugurate the SMART Centre (Supply Chain Modelling, Algorithms, Research and Technology Centre) on the institute’s campus. The facility will drive innovation in sustainable and AI-driven logistics solutions. Backed by a five-year $5 million grant from FedEx, the SMART Centre aims to combine advanced research, digital technologies, and industry expertise to transform supply chains with a focus on agility, resilience, and environmental responsibility.The centre will also spearhead interdisciplinary projects in ar..

Advertisement

Subscribe to Our Newsletter

Get daily newsletters around different themes from Construction world.

STAY CONNECTED

Advertisement

Advertisement

Advertisement

Talk to us?