International Journal of Computer Aided Manufacturing
Volume 8, Issue 1 (2022)
Published
Table of contents
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A review on Identification of Block Feature Through Step
Abstract: One of the major challenges in the implementation of CIM, which is anticipatedto meet the needs of the present manufacturing industry in terms of completeautomation of its operations, is the combination of CAD package and CAM system viaCAPP. To achieve complete automation, product data created throughout the designand modelling process and saved in the database of CAD packages (systems) shouldflow directly to CAPP and from CAPP to CAM for seamless …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 15–20 Read article
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Application of Artificial Neuron Network in roughness prediction: A case study in turning of stainless steel
Abstract: - Artificial neural networks offer a practical and efficient way to choose the best machining parameters for the turning process in order to reduce surface roughness, the resulting cutting forces, and maximize tool life. Surface roughness is a significant aspect in the evaluation of cutting performance and plays a significant role in the manufacturing process. The goal of this project is to create a model based on an Artificial Neural …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 21–26 Read article
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A Review on Computational Intelligence and its Applications
Abstract: Abstract:Computational intelligence (CI) is a term used to describe a computer's capacity to learn a particular task via data or experimental observation. Although it is frequently used as a synonym for soft computing, computational intelligence is still not well defined. Soft computing, commonly referred to as computational intelligence, is a type of computing that is based on how people learn. Computers become more intelligent when they learn from procedures based …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 27–30 Read article