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861 articles for “parameters optimization”
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Enhancing Mechanical Properties by Parameter Optimization in Fiber and Particle Reinforced Composites
Abstract: This research focuses on optimizing the mechanical and thermal properties of hybrid fiber and particle-reinforced composites through systematic parameter optimization using the Taguchi method and Grey Relational Analysis (GRA). Composites were fabricated using varying fiber volume fractions (20%, 30%, and 40%), particle sizes (20 μm, 60 μm, and 100 μm), and curing temperatures (60°C, 80°C, and 100°C) in a 3-factor, 3-level experimental design. Key properties such as tensile strength, impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 75–85 Read article
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Parametric Optimization of Biocompatible Ti6AL4V Alloy on Selective Laser Melting for Enhanced Structural Support and Reduced Stress Shielding
Abstract: The Selective Laser Melting technique is widely employed in the production of complexly shaped end products for a range of industries, including biomedical, aerospace, automotive, and defence. SLM is a complicated manufacturing process since a lot of factors influence the characteristics of the items that are printed using it. The SLM printing of fully dense parts is becoming more and more popular for various high-end applications. Because of their biocompatibility …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 143–156 Read article
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Parametric optimization of end milling operation on EN24 – A Mapping Review
Abstract: The milling of EN24 hardened steels has been applied in many cases in production. The purpose of this review is to study the effect of influence of milling operation parameters such as cutting speed, feed and depth of cut on the material removal rate and surface roughness in milling of EN24 steel. The effect of milling operation parameters are evaluated for minimum surface roughness and maximizing material removal rate. Maximum …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 42–48 Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article
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Parametric Optimization of Aluminum Alloy 6061 Using Wire-EDM for Automotive Applications: A Taguchi-Based Approach
Abstract: Machining hard materials with complex geometries presents numerous challenges, often requiring the use of non-traditional methods such as wire Electric Discharge Machining (EDM). However, wire EDM machines operate at slow speeds, and increasing the speed can negatively impact surface finish, making it a difficult task. The ongoing research investigates the machinability study of Aluminum Alloy 6061 using wire EDM, emphasizing the optimization of process parameters to enhance machining performance and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 293–302 Read article
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Parametric Optimization of Waste Plastic Fuel Parameters
Abstract: AbstractIn this article, the fuel production through waste polythene and plastic with the help of zeolite as a catalyst is presented. First of all, prepare a light steel airtight vessel on which there is a lid with a hole that is connected to long galvanized steel pipe. The container is filled ¾ with waste plastic and polythene at room temperature then the temperature is increased up to 300–450°C by using …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 26–30 Read article
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A Technical Review on Parametric Optimization of Welding Dissimilar Metals
Abstract: As we know that the use of stainless steel in different industrial sectors such as oil and gas, aerospace, automobile, power plant, manufacturing, etc. is high due to their higher tensile strength and toughness etc. Therefore need has arrived to think out in the merger of stainless steel with other metal which are compatible and stronger such as stainless steel. In this paper, we have studied the different technical aspects …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 3, 2017 · pp. 43–50 Read article
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A Review on Parametric Optimization of WEDM Technique for OHNS Steel
Abstract: In this study, the Wire Electrical Discharge Machining (WEDM) process for OHNS (Oil Hardened Non-Shrinking) steel, a high-performance material frequently used in the production of dies, punches, and precision tooling components, is optimized parametrically and validated experimentally. A continuously moving wire electrode and a sequence of electrical discharges are used in WEDM, a non-traditional machining method, to erode material and produce intricate and precise profiles, particularly in materials that are …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 29–35 Read article
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Optimizing Parameters for Dry Sliding Wear Control in Stir-Cast AA7050/SiC Composites
Abstract: Using a pin-on-disc tribometer, this study examined the dry sliding wear behavior of AA7050/SiC composites. The production of this metal matrix composite was achieved through the stir-casting process, which involved an initial step of melting the AA7050 alloy, followed by the careful introduction of silicon carbide (SiC) particles, stirring to achieve uniform dispersion, and finally, casting the molten mixture. Wear rate (WR) was determined by three operational parameters: SiC reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1624–1635 Read article
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Parametric Optimization of CNC Wire Cut EDM for Oil Harden Non-Shrinking Steel: A Comparative Study
Abstract: There has been a rapid growth in the development of harder and difficult to machine metals and newly developed alloys. Conventional machining methods are not suitable and uneconomical for such materials, thus development starts for newer concepts in metal machining. It thus plays a major role in the machining of dies, tools, etc., made of tungsten carbide, hard steel, alloys used in the aeronautics industry. It is a great concern …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 44–58 Read article
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Parametric Optimization of TIG Welding Process in Butt Joining of AISI 310 Austenitic Stainless Steel Materials
Abstract: Tungsten inert gas (TIG) welding is an arc welding process that uses a non-consumable tungsten electrode to produce the weld. Selection of the levels of the input parameters plays a very significant role in determining the quality of a weld joint. The present study is planned to investigate effects of process parameters: welding current, gas flow rate and arc gap on ultimate tensile strength in TIG welding of austenitic stainless …
Published in Journal of Production Research & Management · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 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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Evaluation of Optimal Parameters for Wire EDM Machine on En45A Alloy Steel using Taguchi and Grey Relational Analysis (GRA) Method
Abstract: The core goal of this research paper is to evaluate process parameters of wire electrical discharging machining and to find out the best parameter among the multiple responses given by machine. Wire cut machine is very accurate and precise machine which is actually manufactured to cut those material which have high strength, toughness, and hardness. This machine works on melting property; here spark is generated between the work piece and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 11–21 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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Parameters Optimization of EDM of AISI 316 Stainless Steel Material using RSM
Abstract: In this paper, cutting of SS316 material using electro discharge machining (EDM) with a copper electrode using RSM technique is discussed. Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes [1]. These methodologies are used to analyze the effect of each parameter on the machining characteristics and to predict the optimal choice for each EDM parameter such as peak current, gap voltage and pulse on time. It …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 23–29 Read article
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A Reviewed Study On Cpu-Optimized Parameter-Efficient Fine- Tuning For Large Language Models To Increase Accuracy Using Lora
Abstract: The fast proliferation of Large Language Models (LLMs) has increased the need to optimize the process of fine-tuning but the existing workflows that require a GPU are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of Parameter-Efficient Fine-Tuning (PEFT) based on Low-Rank Adaptation (LoRA). The major purpose of the study …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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An Experimental Study on Multi-Criteria Parameters Optimization of Process for Al6351/SiC/Gr Metal Matrix Composites Using AHP-TOPSIS Approach
Abstract: This research focuses on optimizing the process parameters of Wire Electrical Discharge Machining (WEDM) for a hybrid Metal Matrix Composite (MMC) comprising Al6351 aluminum alloy reinforced with 4% SiC and 6% graphite (Gr), fabricated via squeeze casting. This technique enables the formation of dense, defect-free composites with uniform reinforcement distribution, enhancing both mechanical properties and structural integrity. Microstructural characterization using Scanning Electron Microscopy (SEM) confirmed the even dispersion and bonding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 303–319 Read article
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Parametric Optimization of Tool Wear Rate in Side Flushing form of Die Sink EDM of EN-31 Die Steel
Abstract: Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes for manufacturing geometrically complex or hard material parts that are extremely difficult to machine by conventional machining process. EDM researchers have concentrated on achieving faster and more efficient metal removal rate coupled with a reduction in tool wear and improved surface characteristics. In this paper, the operating performance measures of side flushing type of electrical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 72–80 Read article
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Parametric Optimization of boring process by alternate tooling head to improve productivity of GG25 cylinder liner- A Review
Abstract: Manufacturing in today’s era is a critical and essential part of society, which always gets better day by day. The optimization of manufacturing process helps in increasing the productivity and economy for both company and customer, which leads to efficient manufacturing. The boring process is used for enlarging the bore of cylinder liner. It is essential process which is considered for dimensional accuracy. The optimization of boring process can lead …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 39–42 Read article