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5 articles for “pocket milling”
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Optimization of process parameters in pocket milling of SAE304 based on tool path strategies using Taguchi method
Abstract: Surface roughness is the most significant factor in manufacturing industry to accept most of the machined components. In modern manufacturing CNC milling is one of the most commonly used machining process for different components. Pocket milling is building importance in plastic molding, Ship building and aircraft manufacturing. The surface finish is attained by finishing operations in most of the cases, which causes increase in production cost and time. This can …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 49–56 Read article
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Multi Objective Optimization in Micromilling of 304L steel by Taguchi-Grey-Fuzzy Method: Literature Review
Abstract: Micromechanical milling of 304L Stainless steel which is commonly used in the welded in severe corrosion environment and it terminates the need for annealing. The goal of this study is to investigate the influence of process input parameter such as cutting speed, depth of cut, feed per tooth, radial immersion percentage and plunging method on process output during circular pocketing operations. Tool wear, machining forces and surface roughness measurement are …
Published in Trends in Mechanical Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 25–30 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Computational Investigation of Phytochemicals Targeting AKT1 for Major Depressive Disorder: A Molecular Docking and ADMET Study
Abstract: Major depressive disorder (MDD) is a prevalent neuropsychiatric condition affecting approximately 280 million individuals worldwide, with women exhibiting a 50% higher likelihood of diagnosis than men. Despite significant advancements in treatment, MDD remains a chronic and relapsing disorder, necessitating the exploration of novel therapeutic interventions. This study focuses on the AKT1 gene, a key player in neuropsychiatric disorders, and investigates its interactions with natural phytochemicals as potential alternatives to conventional …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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One Card Travel
Abstract: Mumbai, Delhi, Kolkata, Bengaluru, and other most populated cities have millions of people as daily commuters. It has mass transit (trains and buses), all forms of private transport, and autorickshaws and taxis that serve an important role in the transportation system of the city such as overcrowding in buses, autos, taxis, trains, etc. Due to over-crowding, the commuters travel into jam-packed compartments, most of them standing. At times they get …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 1, 2021 · pp. 10–16 Read article