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LG Innotek and Ansys Team Up to Transform Manufacturing with Digital Twin Technology

August 20, 2024
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LG Innotek companions with Ansys to increase Digital Twin expertise, drastically decreasing product improvement time and prices.
Digital simulations reduce substrate warping prediction time from 11 days to three.6 hours, optimizing manufacturing processes.
Collaboration goals to implement Digital Twin throughout all worth chains, enhancing high quality and effectivity by means of AI-driven simulations.

LG Innotek introduced on August 8 its plans to increase the appliance of ‘Digital Twin’ expertise throughout all processes in collaboration with Ansys, the worldwide chief in engineering simulation, in accordance with the Korea IT Occasions. This partnership goals to leverage the expertise to enhance the manufacturing sector by enhancing effectivity, decreasing prices and accelerating product improvement timelines.

Digital Twin expertise, which creates a digital reproduction of a bodily object, permits for simulations that predict real-world outcomes. This modern strategy is gaining traction for its potential to resolve varied industrial and societal challenges. By integrating Ansys’s superior simulation software program and digital twin options, LG Innotek is poised to ascertain a top-tier digital twin surroundings.

Seungwon Noh, CTO of LG Innotek, advised Korea IT Occasions: “The longer term envisioned by LG Innotek includes automated integration from simulation leads to digital house to precise manufacturing amenities, embodying ‘Meta Manufacturing.’ To realize this, we are going to quickly combine superior digital twin expertise into all the worth chain, together with R&D, manufacturing, and high quality administration, to ship distinctive buyer worth.”

Already, LG Innotek has seen substantial advantages from Digital Twin expertise in analysis and improvement (R&D), in accordance with the expertise information web site. It has enabled the corporate to confirm designs in a digital surroundings, considerably chopping down the necessity for bodily experiments and saving beneficial time. In creating semiconductor bundle substrates (PS), the usage of Digital Twin decreased the event interval by a formidable 99%.

In substrate manufacturing, minimizing warping as a consequence of thermal and strain stresses is essential. By 3D modeling for digital simulations, LG Innotek slashed the time to foretell the warping of a single substrate from 11 days to only 3.6 hours. This exact simulation functionality is important for optimizing circuit design constructions and materials compositions.

The applying of Digital Twin expertise has prolonged past product improvement to the FC-BGA (Flip Chip Ball Grid Array) manufacturing course of. By organising course of gear below optimum circumstances by means of a digital twin, LG Innotek managed to halve the ramp-up interval for enhancing preliminary mass manufacturing yields. Beforehand, figuring out optimum course of circumstances required appreciable time and prices, involving tons of of exams. Now, with an actual 3D digital reproduction of the FC-BGA manufacturing gear, the method is vastly streamlined.

Within the automobile element manufacturing course of, Korea IT Occasions reviews that Digital Twin expertise has been employed to reinforce productiveness and guarantee high quality reliability. As an example, by simulating the soldering course of in a digital house, LG Innotek can predict the time till cracks seem in solder, aiming to enhance productiveness by roughly 40%.

Wanting forward, LG Innotek, in collaboration with Ansys, plans to quickly combine Digital Twin expertise throughout all product improvement and manufacturing processes, together with rising areas similar to automobile communication modules and LiDAR. This growth goals to embody all the worth chain, together with associate firms and clients, facilitating collaborative product design and environment friendly manufacturing simulations on a shared digital platform.



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Tags: AnsysdigitalInnotekManufacturingteamTechnologytransformtwin
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