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69 articles for “input machining parameters”
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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
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Interfacial and Tribo-Mechanical Performance of a TiO₂–Castor Oil Polymeric Nanofluid During Sustainable Machining of AISI 316L Stainless Steel Under MQL Conditions
Abstract: This research examines the tribo-mechanical performance and interfacial film characteristics of a TiO₂-reinforced castor-oil polymeric nanofluid during the turning of AISI 316L stainless steel under minimum-quantity lubrication (MQL). A Taguchi L9 orthogonal array was utilized to assess the synergistic effects of cutting speed, depth of cut, and coolant composition on surface integrity, while machining experiments were performed under dry, conventional, and TiO₂-nanofluid lubrication techniques. ANOVA and multiple-regression modeling were used …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 901–914 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
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Channel Prediction and Estimation Based on Machine and Deep Learning Techniques: A Review
Abstract: Channel prediction estimation in the high- speed mobile environment is a hot issue for 3D massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. In this environment, the channel has fast time-varying and non-stationary characteristics. And its time-domain correlation coefficient is a time- varying parameter, which makes it difficult for traditional channel estimation methods to capture the channel variations over time and achieve ideal channel estimation performance. A known signal, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 13–17 Read article
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Effect of Process Parameters on TIG Weld-Brazing of Aluminum Alloy to Galvanized Steel
Abstract: AbstractAbility to join aluminum alloy to steel enables weight reduction of automobile bodies. Gas tungsten arc welding (GTAW) process was employed to weld-braze A8011-H14 aluminum alloy to galvanized steel in lap configuration. The influence of heat input on bead formation and joint strength was investigated. The microstructural characterization was carried out using an optical microscope and scanning electron microscope. The chemical composition was analyzed using energy dispersive spectroscopy technique. The …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 5, Issue 3, 2018 · pp. 8–14 Read article
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Optimizing Machining Parameters for Surface Roughness and Metal Removal Rate While Turning of Aluminium Based Metal matrix Composite
Abstract: Nowadays demand of lightweight materials is increasing tremendously and aluminum based metal matrix composite (MMC) plays important role to fulfill such demands due to characteristics like lightweight and high strength. This work is intended to investigate the effect of the variables like speed, feed and depth of cut, on surface roughness and MRR. This work is carried out on Aluminum based MMC with 10% of boron carbide (B4C). Taguchi’s L27 …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 3, 2019 · pp. 42–48 Read article
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The Effect of using Grease on the Surface Roughness of Aluminum 1100 Sheet during the Single Point Incremental Forming Process
Abstract: Incremental forming is a sheet metal forming technique in which a uniform sheet is plastically deformed through the progressive action of a rounded tool. The movement of the tool is governed by a CNC machine. By this way the tool locally deforms the sheet through pure stretching deformation. In this research incremental forming experiments were carried out on Aluminum 1100 sheets to form a cone shape. Roughness was studied by …
Published in Trends in Machine design · Vol. 1, Issue 1, 2014 · pp. 1–4 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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Influence of SlS Parameters on Strength and Fatigue Durability of Polyamide-12
Abstract: Selective Laser Sintering (SLS), a laser-based polymer powder bed fusion process, has gained prominence in the fabrication of high-performance thermoplastics such as Polyamide-12 (PA12). This paper provides an extensive review of how key SLS process parameters—such as laser power, scan speed, hatch spacing, and energy density—affect the mechanical properties of PA12 components, with a specific focus on tensile strength and fatigue resistance. Studies demonstrate that increasing energy input enhances particle …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 178–191 Read article
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article
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Optimization of Process Parameters for Honing Procedure of GG25 Cylinder Liner by using Full Factorial Method
Abstract: Modern processes have been taken part in the market and industries. Optimization is a major part of the industry and it is a big major challenge in the industry. The industry is keen to implement the optimization in each area of industry. Optimization provides accuracy and productivity for the product. Honing is known as super finishing manufacturing process. After boring, honing is carried out and it is the last operation …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 10–16 Read article
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Evaluation of process paramters of various materials by turning operation using different methodology techniques-A review
Abstract: The use of engineering materials has increased to a great extent in industries. So it is required to find the optimum parameters in order to have easy and economical machining. Turning operation is most important in the machining process. Especially of hard materials it is difficult sometimes to do so. For better results, the selection of proper process parameters is very important. This paper presents, the effect of process parameters …
Published in Trends in Mechanical Engineering & Technology · Vol. 10, Issue 3, 2020 · pp. 36–43 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Electric vehicle parameters estimation using Web portal
Abstract: The shift to electric vehicles (EVs) requires precise parameter estimate, which is essential for comprehending EV performance and enhancing user experience. The concept and execution of a web portal for evaluating important electric car parameters are presented in this article. Without the need for specific software or knowledge, the portal provides a user-friendly platform for individuals and companies to learn about the characteristics of electric vehicles. The website makes it …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Parametric Optimization of MRR in Manual Air Plasma Arc Cutting of AISI 1017 MS using Design of Experiment
Abstract: In previous fifty years there has been remarkable research in machining and development in technology. Now a days with rise in competition in the market and to achieve high accuracy; the nonconventional machining has become more important in any industry. One of the most important unconventional machining processes is plasma arc cutting (PAC). Its high accuracy, finishing, ability of machining very hard materials makes it more demanding in the market. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 2, 2015 · pp. 22–28 Read article
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Wind Forecasting Using Various Neural Networks in Machine Learning
Abstract: Wind Power Forecasting, as the name applies is a process in which data of past is used to tell what kind of output can be expected from a wind turbine in the foreseeable future. Machine learning, can be said to be a derivation of artificial intelligence that makes it possible for the system to learn automatically and improve upon itself from faults, without needing to tell the system to do …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 32–43 Read article
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Effect of WEDM Machining Parameter on the MMC: A Review
Abstract: Recent area of manufacturing is highly focus on good accuracy and a complex shapes are mechanized by the advanced machining operation. The wire electrical discharge machining (WEDM) have the ability to produce the complex shapes with having high accuracy. The WEDM is non-contact type machining operation and is used for metal materials as well as Metal Matrix Composites (MMCs), ceramics composites those have many application in vast areas such as …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article