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69 articles for “input machining parameters”
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
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Experimental Study on Microstructural Evolution and Tensile Properties of Robotic Pulse MIG Welded Steel
Abstract: Robotic pulse Metal Inert Gas (MIG) welding has emerged as an advanced joining technique capable of producing superior weld quality through precise control of welding parameters. The present study evaluates the influence of welding parameters on the microstructural evolution and tensile properties of steel weldments fabricated using robotic pulse MIG welding and compares the results with conventional pulse MIG welding. Microstructural characterization was carried out using Scanning Electron Microscopy (SEM) …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 40–52 Read article
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Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article
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Examining the Crowd in Real-time with Deep Learning
Abstract: In this research, a model is proposed that can be used to estimate crowd density in a specific region and to establish social distances in accordance with predetermined rules. This is accomplished utilizing a multi-source model-based approach. In a small public gathering where hand counting is impossible, this technique conducts a survey. To do this, input video frames are extracted, each frame is processed, and then passed to the model …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 41–45 Read article
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Dissimilar Joining Of Aluminium Alloy to Copper Using Tungsten Inert Gas Welding Process
Abstract: Aluminium-copper dissimilar joints are applicable to electrical industry. 2 mm thick aluminium alloys (A1100) sheet is joined to 1 mm thick copper (Cu-DHP) sheet using tungsten inert gas welding (TIG) process. The effect of process parameters like heat input, torch orientation, arc weaving on mechanical properties of the joint are studied. In this combination the molten pool generated by melting of aluminium edge will wet the coppersurface to form a …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 5, Issue 2, 2018 · pp. 15–20 Read article
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State Space Modeling and Robust Wind Power Generation System
Abstract: AbstractAs producing power from renewable energy is increasing, facing new problems emerging from this phenomenon is becoming a good challenge for power system engineers. One of these problems is the dynamic and transient stability of such systems when they are connected to a power network. In this paper, a variable speed cage machine wind generation system is considered as the case study. The concept of power system stabilizer, which has …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 2, 2017 · pp. 24–39 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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Optimization of Process Parameters in EDM
Abstract: Extensive research has been done till date to improve the performance of electrical discharge machining (EDM). In the past few years, the Taguchi method has played an important role in the optimization of process parameters. However, many of the studies have focused on static or single-quality characteristics such as smaller-is-better, larger-is-better, and nominal-is-best. The Taguchi method is best suitable for relative analysis. The prime drawback here to mention is that …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 21–28 Read article