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77 articles for “Tool steel”
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Experimental Investigation of Aluminum Alloy 8010 by Friction Stir Welding
Abstract: A solid state welding method called friction stir welding (FSW) is used to fuse metals and alloys that are challenging to fuse using traditional fusion welding. The effects of tool pin and shoulder diameter on joining the aluminum alloy Al 8010 were examined in this study. The basis material for combining single butt-welded joints is a plate with a thickness of 6 mm. The welding was carried out on the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
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Effect of hybrid plant-based cutting fluid in turning operation of EN19 steel and modelling of heat transfer equation for multiple phase colloids
Abstract: This article describes a project where an alternative to conventional Mineral Oil (MO) based cutting fluids is tried on the turning operation of steel samples. The deposit of petroleum is getting depleted day by day, the pollution due to fossil fuel is increasing exponentially and petroleum is getting more and more expensive. Due to these reasons, nonpetroleum (MO) based alternative cutting fluids have been in business for quite a while. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 175–185 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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Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
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Performance Evaluation of Vegetable Oil Based Cutting Fluids with Extreme Pressure Additive in Turning of AISI 1040 Steel
Abstract: Vegetable oils are being investigated as a potential source of environmental favorable lubricants, due to high biodegradability, renewability and good lubrication properties. The objective of this work is to determine the influence of vegetable oil based cutting fluids (sesame and coconut oil) with extreme pressure (EP) additive on machining performance in terms of cutting forces, cutting tool temperature, tool flank wear and surface roughness during turning of AISI 1040 steel …
Published in Journal of Production Research & Management · Vol. 4, Issue 3, 2014 · pp. 8–14 Read article
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Experimental Evaluation and Optimization of Dry Drilling Parameters of Stainless Steel Using Different Drill Bit
Abstract: Drilling is one of the widely used in machining processes for various purposes. Stainless steel is frequently used in automotive, aircraft and aerospace and dies or mold industries, home appliances, medical and electrical equipment, but machining of stainless steel is difficult due to high tensile strength, high ductility, low heat conductivity and high fracture toughness. The cutting temperature at drill tool-chip interface affects drill hole quality, lowers the tool life, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 1, 2017 · pp. 43–48 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article
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Polymer Chemistry-Driven Design of a Severable Dental Prophylaxis Instrument: Leveraging PEEK and Composites for Enhanced Functionality
Abstract: Polymer chemistry unlocks new possibilities for dental prophylaxis instruments by leveraging molecular design for enhanced functionality. This study explores Polyether Ether Ketone (PEEK), a semi-crystalline thermoplastic, in a novel instrument with a severable working end, featuring a tubular structure with internal screw threads (0.5–0.8 cm) anchoring replaceable elements via a threaded mechanism. PEEK’s aromatic backbone, alternating ether and ketone groups, yields a tensile strength of ~100 MPa, chemical inertness against …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 869–877 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article
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Multi-variable Analysis and Optimization of Electrical Discharge Machining Process Using a PCA-ANN Based Approach
Abstract: AbstractThe optimum selection of process parameters has played a crucial role in electrical discharge machining (EDM) for improving the material removal rate, reducing the tool wear rate and radial overcut. In this paper, optimum parameters while machining 202 stainless steel using copper electrode as a tool has been investigated. For optimization of process parameters along with multiple quality characteristics, principal component analysis coupled with artificial neural network method has been …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 39–45 Read article
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Design and investigational study of drawability by varying blank holding force of rectangular drawn component
Abstract: The process of design and manufacturing of draw die has been carried out for rectangular shaped drawn component having thickness 1 mm of mild steel sheet has been utilized for blank material. In first phase, designed an inverted draw tool using CAD software Unigraphics NX which served the purpose of double action in a single stroke. The values of cutting force, FEA, blank holding force, tonnage of press and clearance …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 1–9 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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Machinability and Reliability Analysis of Al6063–Al2O3 Metal Matrix Composites Using Image-Based Flank Wear Evaluation
Abstract: This study explores the machinability and reliability characteristics of Al6063–Al2O3 metal matrix composites (MMCs) as analogues for polymer–metal hybrid composite systems, focusing on their potential use in lightweight structural and metal matrix composite-integrated applications. The composite specimens were fabricated through stir casting with 3% and 9% Al2O3 reinforcements, followed by mechanical characterization that confirmed significant enhancements in hardness and strength compared to unreinforced Al6063. Machining experiments were performed using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 264–290 Read article
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Springback of High Strength Steel Sheet and Preventive Measures
Abstract: The purpose of this paper is to improve the accuracy output of cold stamping product by accommodating springback. This is an experimental study to improve the accuracy of springback analysis and die compensation process during CAE of part. The springback shape and the target part are used to optimize the die surfaces compensating springback. This paper describes the springback behavior of HSS steel based on phenomenon and preventive measures based …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 24–31 Read article
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Effect of Nose Radius and Tool Shape on Diameter Error, Circularity and Surface Roughness in Dry Turning Machine
Abstract: The objective of this paper is to investigate the effect of nose radius and tool shape on diameter error, circularity and surface roughness of turned parts during dry machining operation. The paper presents both analytical and experimental results of nose radius, tool shape and surface roughness of a turned material (alloy steel AISI-4340) in three different levels of control parameters that have been affected by nine cutting tool shapes of …
Published in Trends in Machine design · Vol. 6, Issue 1, 2019 · pp. 29–37 Read article
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LIFE ESTIMATION OF A PRE-CRACKED CRICKET BAT
Abstract: Cricket is a fascinating game that is played in many countries professionally. The cricket bat is equipment which is used to strike the ball. The ball is made up of leather whereas the bat is made of willow wood. The performance and the life of a bat are hampered in presence of a crack as the crack propagates leading to failure. In this paper, a Kashmir willow bat with a …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 48–55 Read article
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Mechanical and Micro-structural Properties of Friction Stir Welded Dissimilar Joints of Aluminium Alloys
Abstract: Abstract In this work, the microstructure and mechanical properties of friction stir welded dissimilar joints of 6101-to-6063 aluminium alloys were evaluated. Tool with round pin profile was fabricated of high speed steel material which was suitable for friction stir welding of aluminium alloys. Under monotonic tensile loading, an increase in the joint strength was observed with the increase in the tool rotational speed. The micro-hardness of friction stir zone increased …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 2, 2017 · pp. 16–22 Read article
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Influence of EDM Process Parameters on MRR and TWR on Mild Steel and Cast Iron using Taguchi’s Method
Abstract: An alternative to conventional machining methods, Electrical Discharge Machining (EDM) uses electrical current for generating controlled sparks that erode surface of the material through thermal energy. Unlike traditional cutting processes, hard and electrically conductive materials with high precision can be machines very easily, which make it suitable for applications in tool and die manufacturing, aerospace, and automotive industries. Tool Wear Rate (TWR) and Material Removal Rate (MRR) for mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 614–627 Read article
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Heat Transfer by Arc Welding for A Similar Material Joint
Abstract: Electric arc welding (EAW) is a traditional fabrication process used in wider domestic, commercial and industrial application. Welding is a joining of two materials with the application of heat at the molecular level with the application of heat and pressure. Many materials used for welding application for different joining process. Maraging steel is special steel used for production of different air-craft components. Maraging material is used for heavy tools, producing …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article