Artificial Neural Network based Applications in Mechanical Engineering
Mohit Gangwar1, Brijesh Kumar Ojha2, Rohit Srivastava3, Himanshu Kumar Shukla4, Aditya Pratap Singh5
1Mohit Gangwar, Dean-Engineering, Bhabha University, Bhopal, MP, India.
2Brijesh Kumar Ojha, Asst. Prof., Department of ME, Faculty of Engineering, University of Lucknow, Lucknow, UP, India.
3Rohit Srivastava*, Asst. Prof., Department of CSE, Faculty of Engineering, University of Lucknow, Lucknow, UP, India.
4Himanshu Kumar Shukla, Assistant Professor, Department of CSE, KMC Urdu-Arbi Farshi University, Lucknow, UP, India.
5Aditya Pratap Singh, Asst. Prof., Department of CSE, School of Management Science (AKTU Code 421), Lucknow, UP, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 15, 2020. | Manuscript published on May 30, 2020. | PP: 77-86 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1162059120/2020©BEIESP | DOI: 10.35940/ijrte.A1162.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Search of sheet metal components along with physical items calls for a good deal of expertise in addition to creating expertise on the part of designers. Lately, different Artificial Intelligence (AI) methods now are being used in sheet metallic labor to minimize complexity; take lower the dependency on male, time and also expertise ingested physical appearance of pieces and expires and additionally to enhance one success. Artificial Neural Network (ANN) method is by using the most effective materials for fixing engineering layout issues and minimizing errors to drop with experimental information within actual physical engineering. This specific investigate documents particulars a substantial comment of applications of ANN strategy to sheet metallic perform how about hand-operated engineering apps. Major printed analysis do inside the domain name of bodily engineering is really summarized. In line with the vital comment of accessible literature, a lot more analysis range is really determined. The present literature analysis uncovers that there’s stern need in an attempt that you are able to make use of ANN means to press items style as well as in addition to foresee gear lifetime contained sheet metal industries or perhaps maybe even in for bodily engineering process.
Keywords: Artificial Neural Network, Mechanical Engineering, Artificial Intelligence, Sheet Metal, Machine Learning.
Scope of the Article: Recent on Mechanical Engineering and Technology.