Search
66 articles for “input machining parameters”
-
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
-
Comprehensive Evaluation of Abrasive Water Jet Machining of Fiber Reinforced Polymers
Abstract: The machining process of Carbon Fiber Reinforced Polymers is significant and the researchers are continually working to achieve the better machining qualities. There are numerous issues with the machining abilities of traditional machining techniques for fiber reinforced polymers because of heterogeneous and anisotropic properties of FRP materials. Advanced manufacturing processes such as laser beam, ultrasonic, EDM, water jet and abrasive water jet machining are the alternatives to the conventional making …
Published in Journal of Polymer & Composites · Vol. 7, Issue 1, 2019 · pp. 7–16 Read article
-
An Experimental Investigation of Machining Parameters on Aluminum Composites
Abstract: The need for a material with good mechanical, thermal, and wear resistant properties is satisfied by aluminum composite. However, the biggest obstacle to substituting it with alternative materials is the machining challenges. For this kind of hard-to-cut material, electric discharge machining is a very efficient method. Thus, using a Taguchi-based method, an attempt has been made to determine the most advantageous amount of input parameters for EDM of Al composite. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 8–13 Read article
-
STUDY ON EFFECT OF END MILLING PARAMETERS ON CUTTING FORCES USING RESPONSE SURFACE METHOD
Abstract: Now a day’s research over improvement of surface roughness on mechanical elements has become quite significant in the operational and aesthetical point of view. To enhance accuracy and precision, manufacturing firms are adopting automated systems in order to achieve manufacturing excellence. In the present work the effect of various process parameters like spindle speed, feed and cutting fluid composition on cutting forces in End milling process is investigated by using …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 62–72 Read article
-
Optimization of Process Parameter in Electrical Discharge Machining
Abstract: This is the non-traditional machining process. The high surface finish of the material is required. More complex shape of material is required. Wire EDM is one of the nontraditional machining processes. Surface roughness and kerf width are of crucial in the field of machining processes. This paper uses the Grey relational theory and Taguchi optimization technique, in order to optimize the cutting parameters in Wire EDM for D3 steel material …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 2, 2020 · pp. 4–10 Read article
-
Optimization of Machining Parameters on End Milling of EN 8 Back Shaft for Power Press
Abstract: The most of the industries carried out various machining processes are the heart of any industries. The processes are advanced day by day in order to achieve goal of efficiency. The paper state about one of the process namely end milling on experimentally investigates the effect of input parameters on material removal rate and surface roughness for key way cut on particular back shaft. Design of experiment carried out by …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 49–58 Read article
-
Optimal Abrasive Jet Machining Parameters for Glass Fiber Reinforced Plastics
Abstract: Abrasive jet machining (AJM) is a best choice for processing of glass fiber reinforced plastics (GFRP). Inherent to the nonlinear behavior of performance characteristics during repeated experiments are inevitable variations, attributed to measurement errors and unknown influencing input variables. This study employs the Taguchi method with an orthogonal array to systematically identify optimal input variables through a limited number of experiments. The paper introduces a direct and reliable Taguchi-based multi-objective …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 247–255 Read article
-
Surface Roughness in Traverse Cut Cylindrical Grinding of Phosphor Bronze
Abstract: In the present work, traverse cut cylindrical grinding process has been analyzed and optimized to obtain desired surface roughness while machining of phosphor bronze material. Experiments have been planned as per Taguchi’s L16 orthogonal array. Four levels of the input parameters have been used. The parameters are: longitudinal feed, work-speed and in-feed. The results have been studied, plotted and discussed. The effect of process parameters on responses have been analyzed …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 20–24 Read article
-
Optimizing Mechanical and Durability Properties of Eco-Friendly Composite Materials Using Recycled Fillers and ML Techniques
Abstract: The increasing demand for sustainable construction materials has intensified the exploration of recycled fillers as partial or full replacements for natural aggregates in composite materials. This study investigates the mechanical and durability performance of polymer matrix composites incorporating processed recycled fillers derived from construction and demolition (C&D) waste. Three distinct processing methods were employed to prepare the recycled fillers: untreated (URF), single processed (SPRF), and double processed (DPRF), with replacement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 269–309 Read article
-
A Study on Chatter Marks in Crankshaft Pin Grinding Process Using Taguchi Technique
Abstract: Crankshaft pin grinding is a vital machining process in automotive industry. It is a finishing operation to the crankshaft of the engine, which if neglected could lead to a significant cost to the manufacturer of warranty claims. The study aims at identifying significant process parameters that are influencing the chatter marks and also setting the process parameters of the machine to get a good quality product. Chatter marks are the …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
-
Optimization of Tensile and Flexural Properties of PETG Filament in FDM 3D Printing Using Response Surface Methodology
Abstract: Now a days manufacturing trend has been changed from subtractive to additive. In additive manufacturing (3D Printing), layer by layer deposition occurs and final product can be obtained. The main advantages of additive manufacturing is to obtain customized product, complex geometry product. This research investigates the optimization of tensile and flexural Strength of PETG filament in Fused Deposition Modeling (FDM) 3-d printing by using of Response Surface Methodology (RSM). Specimens …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 39–58 Read article
-
Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
-
Optimization of MRR and TWR on Electro Discharge Machining using Taguchi based GRA
Abstract: Electro Discharge Machining (EDM) is one of the most effective nonconventional machining processes in order to obtain better finishing quality result. It is vastly used to machine the most complex as well as intricate shapes so as the productivity increases in a very short time interval. The input parameters are; discharge current, voltage and pulse on time. Taguchi L9 orthogonal array is used to find out the Signal to Noise …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 3, 2016 · pp. 26–32 Read article
-
A PWM Based Series Compensator for Power System Performance Enhancement
Abstract: Enhancement of power system stability through a relatively new FACTS device named pulse width modulated series compensator (PWMSC) in the transmission line has been investigated in this article. The three-phase PWMSC is realized with a simple pulse width modulated (PWM) AC link converter consisting of four force-commutated switches and a three-phase diode bridge. The PWMSC is modeled as a continuously controllable series capacitive reactance in the transmission line of a …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 12–25 Read article
-
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
-
Utilization of Statistical Learning Algorithms for Prediction of Elastic Modulus of Jointed Rock Mass
Abstract: This study uses two statistical learning algorithms for the prediction of elastic modulus (Ej) of jointed rockmass. The first algorithm uses support vector machine (SVM) that is firmly based on the theory of statisticallearning and uses regression technique by introducing -insensitive loss functionhas been adopted. Thesecond algorithm uses relevance vector machine (RVM). It is based on a Bayesian formulation of a linearmodel with an appropriate prior that results in a …
Published in Recent Trends in Civil Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 81–94 Read article
-
Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints
Abstract: Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called discrete Fourier transformation approach for identification of surface defects present on TIG welded joints.
Published in Research and Reviews : Journal of Computational Biology Read article
-
Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints
Abstract: Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called Discrete Fourier Transformation approach for identification of surface defects present on TIG Welded joints.
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 1, 2021 Read article
-
Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
-
Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article