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44 articles for “CNC machines”
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Optimization of Surface Roughness and Material Removal Rate for Dry Turning Operation in CNC Lathe UsingTaguchi Method
Abstract: In this work the cutting of AISI 1045 material will be carried out using CNC lathe followed by Taguchi methodology. Taguchi method is usedto formulate the experimental layout. A Taguchi L9 design of experiment (DOE) will be applied and the analysis ofvariance (ANOVA) will carried out to determine the effect of process parameters on process performance. To analysethe effect of each parameter on the machining characteristics and to predict the …
Published in Trends in Machine design · Vol. 5, Issue 1, 2018 · pp. 46–53 Read article
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Multi-Response Optimization of Turning Parameters with Vikor-Entropy Method on Machining of AA6061-TiB2 In-Situ Composites
Abstract: In the manufacturing and metal cutting industries, the quality of the surface and strength is essential in defining the surface finish; an excellent surface finish indicates excellent quality in the product. The influence of machining parameters speed, feed and depth of cut on responses like material removal rate, surface roughness and Power consumption on turning of AA6061-TiB2 composites is investigated using the VIKOR-ENTROPY method. The effects of changing parameters on …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 256–268 Read article
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Effect of Varying Surface Grinding Parameters for AISI 1018 Mild Steel by Taguchi based PCA
Abstract: The main purpose of this work is to study the effects of surface grinding parameters on AISI 1018 Mild steel work surface by using three process parameters like Wheel speed (WS), Table speed (TS) and Depth of cut (DOC). This work was conducted on surface grinding machine with model number HMT-P452. Taguchi’s L16 orthogonal array is used which takes sixteen experimental runs to achieve the design matrix of surface grinding …
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 2, 2018 · pp. 5–14 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article