Applications of AI in Design, Manufacturing and Production

Innovation, Adaptation and Improvement are the major thrust for the manufacturing Industries. AI, an emerging technology which is bringing a boon in the market industries. With its increasing features and technology now, it is making its way for manufacturing and product designing. When it comes to AI the base starts with machine learning which has supervised and unsupervised learning in it. Artificial Intelligence models to some extent has a conceptual adaptation of neural networks ,which works similar to that of human brain .AI analyses all the data and draws conclusions for machine and detect all the irregularities and make perfect out of it.AI in relation to CAD is a virtual assistant which gives a broad way into the areas of creativity and ideas which helps in creating multiple variants after recognising the pattern and which in turns helps in making the products in less time. The application of AI which are based upon Machine learning, Internet of things ,block-chain technology, cloud computing and cyber physical system have paved the path for significant improvement in the product designing, quality of product ,improving the manufacturing process and has reduced the time between the development of the new products and its launching while focusing on sustainability. This scientific paper describes how Artificial intelligence is applied in designing of products, interfaces, relation to CAD packages and improving the way of manufacturing which is the need of the hour and demand of society to nurture the satisfaction of customers.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-01-22
DOI
https://doi.org/10.22214/ijraset.2025.66592
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Applications of AI in Design, Manufacturing and Production

Mr. Amit Choubey
International Journal for Research in Applied Science and Engineering Technology
Manufacturing Process and Optimization
article

Applications of AI in Design, Manufacturing and Production

Mr. Amit Choubey
article en

Abstract

Innovation, Adaptation and Improvement are the major thrust for the manufacturing Industries. AI, an emerging technology which is bringing a boon in the market industries. With its increasing features and technology now, it is making its way for manufacturing and product designing. When it comes to AI the base starts with machine learning which has supervised and unsupervised learning in it. Artificial Intelligence models to some extent has a conceptual adaptation of neural networks ,which works similar to that of human brain .AI analyses all the data and draws conclusions for machine and detect all the irregularities and make perfect out of it.AI in relation to CAD is a virtual assistant which gives a broad way into the areas of creativity and ideas which helps in creating multiple variants after recognising the pattern and which in turns helps in making the products in less time. The application of AI which are based upon Machine learning, Internet of things ,block-chain technology, cloud computing and cyber physical system have paved the path for significant improvement in the product designing, quality of product ,improving the manufacturing process and has reduced the time between the development of the new products and its launching while focusing on sustainability. This scientific paper describes how Artificial intelligence is applied in designing of products, interfaces, relation to CAD packages and improving the way of manufacturing which is the need of the hour and demand of society to nurture the satisfaction of customers.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(1)
Openalex Percentile: Top 99%
Manufacturing Process and Optimization
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Applications of AI in Design, Manufacturing and Production — Mr. Amit Choubey · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS