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1548 articles for “Process Optimization”
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Optimization of Process Parameters for AISI 304 Using Micro-EDM Drilling Process: A Review
Abstract: Today, a variety of microparts are needed to fabricate high-tech items including MEMS applications and micro-electronic parts. The advancement of micromachining technology becomes ever more important in order to produce these micro parts. The creation of accurate holes and pins is one of themultiple processes in the micromachining process that is necessary for many small components. In order to create deeper, more straight holes, micro-hole drilling is utilized in a …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 3, 2023 · pp. 26–37 Read article
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A Review on Process Parameter Optimization of TIG Welding of SS316
Abstract: In this audit paper the creator needs to decide the effect of different welding parameters on the weld dot of SS316 welded joint. In this examination the diverse method is utilized to upgrade the distinctive welding parameters like speed, current, gas stream rate on the quality of the material. The outcome demonstrates that speed is the best variable to have most noteworthy twist quality; and current is utilized to get …
Published in Journal of Production Research & Management · Vol. 5, Issue 3, 2015 · pp. 34–38 Read article
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TOPSIS-Driven Optimization of FFF Process Parameters for Mechanical Strength Enhancement
Abstract: In this study, the application of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for optimizing Fused Filament Fabrication (FFF) process parameters to enhance the tensile and flexural strength of Polylactic Acid (PLA) material-based 3D printed components is explored. This investigation delves into the intricate relationship between key parameters, such as layer height, print speed, infill density, print temperature, and nozzle diameter, and their impact …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 246–255 Read article
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Machine Learning-Based Optimization of Additive Manufacturing with Improved Mechanical Performance: Development of Sustainable Thermoplastic Composites
Abstract: Additive manufacturing has successfully manufactured lightweight, programmable and geometrically complicated components. However, reliable mechanical performance and efficient use of resources remain hard. This paper presents a machine learning (ML) based approach to optimize additive fabrication of sustainable thermoplastic composites with enhanced mechanical characteristics. The suggested approach combines material composition, printing settings and process circumstances to forecast and optimize tensile strength, flexural strength, impact resistance and dimensional stability. The aim is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Parametric Optimization of boring process by alternate tooling head to improve productivity of GG25 cylinder liner using response surface methodology
Abstract: The manufacturing process are the heart of any industries. The process are getting renewed day by day to achieve a simple goal of efficiency. The paper states about the one of manufacturing process namely boring operation in material removal process and its optimization to increase the production on going in the industry. The boring process is used in here to enlarge the bore of cylinder liner which are also precision …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 27–30 Read article
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Sequestration of Cr(VI) by the Activated Carbon prepared from Coffee husk(CHAC)
Abstract: The potential of Coffee husks for the production of a low-cost activated carbon (CHAC) was investigated in this study. During the synthesis of the adsorbent, the concentration of the activating agent (H3PO4), impregnation ratio, carbonization temperature and holding time were optimized by Response Surface Method (RSM) using Box-Behnken design. Further, the application of coffee husk activated carbon for Cr (VI) adsorption from aqueous solution was investigated.
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 3, 2019 · pp. 8–16 Read article
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Parametric optimization and validation of novel 3D scanning approach for sustainable manufacturing of patient-specific orthodontic retainers
Abstract: The purpose of the proposed study is to identify the ideal procedure parameters for 3D scanning a denture in order to produce customised orthodontic retainers that can be produced sustainably. However, pilot investigations rarely explore parameters like scanning angle, light intensity, or scanning distance. In order to lower acquisition error, the suggested study examines a method for forecasting the ideal values of the previously indicated scanning parameters. Based on the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 265–278 Read article
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Effect of Process Parameters on Material Removal Rate of Wire-Cut EDM of AISI EN 31 Tool Steel
Abstract: This paper is an attempt to find the effect of input process parameters on the material removal rate of WEDM of AISI EN 31 tool steel. The parameters taken for this study were pulse on time, pulse off time, peak current. The other process parameters like wire tension, servo voltage, wire feed rate, and spark gap voltage are kept constant. The experiment was designed using Taguchi’s L18 orthogonal array. The …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 2, 2017 · pp. 35–41 Read article
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Workflow Streamlining Through Shell Programming: A Review of Automation Techniques, Best Practices, and Applications
Abstract: The rapid advancement of modern computing systems and the increasing complexity of information technology infrastructures have created a growing need for efficient automation and streamlined system administration. Among the various automation technologies available, shell programming remains one of the most practical, flexible, and widely adopted approaches for managing repetitive tasks and optimizing operational workflows in Unix-like operating systems. Shell scripts enable administrators and developers to automate command execution, coordinate system …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 9–20 Read article
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AI-Enabled Optimization of Additively Manufactured Composite Materials for Enhanced Mechanical and Thermal Performance
Abstract: This paper discusses the optimization of multi-objective optimization of enhanced coupling of heat and mechanical properties of 3D printed polymer composite materials by artificial intelligence (AI), as a component of a multi-objective optimization framework. It aims at development of nonlinear printing parameters and material properties relationships to achieve maximum tensile strength and thermal conductivity in polymer composites produced through fused deposition modeling (FDM). Short carbon fiber reinforcement was used to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 867–891 Read article
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Smart Manufacturing with Advanced Polymer Composites: Enabling Industry 4.0 Readiness in Indian MSMEs
Abstract: Thanks to Industry 4.0, manufacturing is now undergoing major changes that highlight using technology, machines, and sustainable solutions. Yet, very few Indian MSMEs can use these technologies due to obstacles like a lack of resources and outdated systems. This research looks at how combining Smart Manufacturing with Advanced Polymer Composites can improve Indian MSMEs’ preparations for Industry 4.0. When APCs are combined with cyber-physical systems, IoT, machine learning, and additive …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 194–216 Read article
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Review and analysis of the Programmable Tungsten Inert Gas Welding Machine
Abstract: The purpose of this study is to examine metal inert gas (MIG) and tungsten inert gas (TIG) welding processes. This study focuses on welding defects with various kinds of AISI- 1020 mild steel welding joints when using metal inert gas (MIG) and tungsten inert gas (TIG). The impact of different process variables on mild steel welding was looked into. In this study, the main process parameters were changed, and destructive …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Optimum Selection of Process Parameters of CNC End Milling Using Grey Relational Analysis (GRA)
Abstract: In this competitive world, to build a good quality product and productivity of any manufacturing corporation optimum selection of process parameters is very vital, when it comes to the desired dimension and tolerances in order to fulfill the purpose of the product. This paper explains the utility of grey relational analysis (GRA) for minimizing the machining time and lubrication thickness simultaneously, in vertical CNC end milling of Al-7075 T6. The …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 24–30 Read article
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Optimization of EDM Process Parameters with Aluminium-Fly Ash Composite using Taguchi method
Abstract: Aluminium based fly ash composites have gained huge popularity over the aluminum and its alloy. These aluminium based composites are being widely used in various applications such as automotive parts, machine cover, frames and ducts etc. Fly ash addition not only makes aluminium harder, stronger, stiffer and more wear resistant but also saves energy consumption and helps in cutting down green house emissions by utilizing almost freely available fly ash …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 1–6 Read article
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Optimization of Manufacturing Process of Booster Rocket to Reduce the Cost
Abstract: The spacecraft is launched into earth orbit or beyond with the help of boosters. After entering into earth orbit, the booster leaves the spacecraft and falls back into the earth after reaching a point called as booster engine cut-off (BECO). The spacecraft continues flight after leaving the booster with upper stage engines. Some of the boosters are recovered, reconstructed and reused. The boosters used for space shuttle are recovered and …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 1, 2018 · pp. 24–34 Read article
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article
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Optimization of WEDM Process Parameters Using a Hybrid Multi-Criteria Decision Making Approach
Abstract: The effectiveness of the manufactured parts is typically measured by more than one performance characteristics. Hence the manufacturing engineers frequently experience the difficulty in optimizing the multiple responses at a time. The present work is to explore the effect of wire electrical discharge machining (WEDM) process parameters in machining of Aluminum metal matrix composite (AMMC). The multiple performance characteristics of material removal rate (MRR) and surface roughness (Ra) are optimized …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 24–30 Read article
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Problem formulation for predicting optimum trans-esterification process parameters of biodiesel production and their performance analysis in diesel engine
Abstract: The various alternate fuels have been used in the past research to run the compression ignition engines. One of the fuel is the biodiesel which is used in the blended form with diesel. The emission parameters are reduced to 30-40% and the performance parameters are increased to some extent. This paper represents the various past research related to biodiesel based engines. The various steps in predicting the optimum process parameters …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 41–44 Read article