Open AccessArtificial Neural Network based Applications in Mechanical Engineering
Author(s) -
Mohit Gangwar,
Brijesh Kumar Ojha,
Rohit Srivastava,
Himanshu Kumar Shukla,
Aditya Singh
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a1162.059120
Subject(s) - artificial neural network , computer science , domain (mathematical analysis) , artificial intelligence , process (computing) , grasp , sheet metal , engineering , mechanical engineering , software engineering , mathematical analysis , mathematics , operating system
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.