Power of Artificial Intelligence in Manufacturing Engineering
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Power of Artificial Intelligence in Manufacturing Engineering

By Manufacturing Technology Insights | Wednesday, May 15, 2019

Artificial IntelligenceIt is indisputable that Artificial Intelligence (AI) plays a very crucial role and creates new opportunities in segments that range from maintenance to practical design. Recent researches conducted on AI shows that 44 percent of the respondents from automotive and manufacturing industries believe AI holds the key to success in manufacturing world which consistently enables modern, advanced and, custom products.

Due to the adoption of manufacturing practices and information technology, human and robot synchronization yield great discoveries in these days. Here are some innovations that AI brings to manufacturing engineering and to its production operations.

Adaptive design

AI in manufacturing industry acts as a key player in a modern process referred to as generative design. In this new manufacturing aspect, engineers input their design goals into the generative design software including material parameters, manufacturing processes, and cost constraints. The software program tests all the possible alternatives and promptly generates the permutations for the design to adopt.

Improving quality

Enhancing the quality of a product is necessary for today's manufacturing environment. Industry 4.0 sensors allow AI algorithms to recognize problems and notify workers with regards to the change in production, such as tool wear or temperature increase which is likely to affect the quality of the particular segment.

Predictive maintenance

Unlike preventive maintenance, AI comes with a new method referred to as predictive maintenance which eradicates guesswork by programming machines to continually update their status. It not only does save the time and labor costs of the manufacturer, but it also ensures optimum production performance. At some instances, predictive maintenance is used in titanium production equipment where IoT and machine learning are extensively used.

Today, robots are being used holistically in manufacturing engineering since its inception continues to emerge. Sensors can be used to monitor and share data with an AI system at every stage of production.

These manufacturing practices are more effective and much faster when done by machines, ranging from flaw detection to corrective methods. Despite the anticipated fears of unemployment caused by artificial intelligence, the manufacturing industry will boast higher output and high efficacy.

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