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816 articles for “machining time”
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Review on the Inventions in Third Quantisation with the Possibility of Time-Machine to be implemented in the Indian-Space-Programmes under the Department of Space (Government of India)
Abstract: AbstractQuantum theory is the first quantisation, and quantum field theory is the second quantisation. Mukhopadhyay’s concept theory is the third quantisation in theoretical physics. Recently, few discoveries in third quantisation are performed and reported by Mukhopadhyay as author. In this review work, the inventions in third quantisation are summarised and briefly mentioned by Mukhopadhyay. Indian Space Research Organisation (ISRO) under the Department of Space (Government of India) has highly smart …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 2, 2020 · pp. 26–31 Read article
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Multi Objective Optimization in Turning Parameters of Al 6463 using Principal Component Analysis
Abstract: AbstractIn multi objective optimization, weight criterion of each objective is important for producing better and accurate solutions. Now a day, due to the growing requirement of the higher precision apparatus for its useful aspect, machining time (MT) and material removal rate (MRR) of a machined part plays a significant role in the modern manufacturing process. This study focuses on optimizing CNC turning parameters on Al 6463 based on principal component …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 2, 2017 · pp. 6–15 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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Dynamic Approach to Evaluate Costing through Software with Integration of CAD/CAM
Abstract: This paper provides the approach to evaluate costing of a model through the use of CAD/CAM integration with establishing rules and scripting. Costing includes the direct and indirect cost of the product. The earlier process of cost estimation was laborious for engineers and it takes long time to evaluate the cost of a finished product. This methodology provides the knowledge to integrate software technology with production knowledge by establishing the …
Published in Trends in Machine design · Vol. 5, Issue 1, 2018 · pp. 21–32 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Analysis and Optimization of End Milling Machining Parameters for Polypropylene composite using Taguchi based GRA
Abstract: This paper offerings the effect of machining parameters on Surface roughness (Ra & Rz) and Machining time during end milling of polypropylene material on CNC milling machine at different levels. In this effort, the machining parameters namely milling speed (MS), feed (Feed) and depth of cut (DOC) were designed using Taguchi L16 experimental design matrix. The impact of all the input parameters on the response parameters (surface roughness and machining …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 91–100 Read article
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Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies
Abstract: Modern healthcare systems are being improved by artificial intelligence (AI) and machine learning (ML), particularly in the treatment of cancer. An AI-driven machine learning system for monitoring cancer patients in real time and offering tailored therapeutic methods is presented in this research. In order to track health issues in real time, the suggested system gathers ongoing health data from wearable sensors and integrates it with patient medical records. This data …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 31–38 Read article
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Response Surface Approach of Optimization to study the Effects of Drilling Parameters in AISI-304 Stainless Steel
Abstract: The effect of cutting parameters specifically cutting speed, feed rate, drill depth and drill diameter during drilling of AISI-304 stainless steel material on automatic radial drilling machine (RM-62) at different level presents in this work. All the cutting parameters are modeled using response surface methodology (RSM). The impact of cutting speed, feed rate, drill depth and drill diameter on the machining time, average roughness and peak roughness is examined. Finally, …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 21–32 Read article
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Optimization of Machining Process Parameters in Hard Turning of AISI D3 Tool Steel
Abstract: Machining operation is still irrefutably vital process in manufacturing, that involves complex relation of input parameters (like cutting speed, feed rate, depth of cut, nature of cooling, etc.) to output parameters (like surface finish, tool life, tool wear, machining time, machining cost, etc.). Numerous efforts were noticed in literature, to relate these parameters with each other so as to implement cost effective machining with least efforts. This paper presents one …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 1, 2017 · pp. 23–30 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Condition monitoring and fault diagnosis of gears based on vibration signatures - A review
Abstract: Gearbox is widely used in industrial and military applications. It is subjected to high service load and harsh operating conditions or inevitable fatigue, due to which faults may develop in gears. Fault diagnosis plays an important role in condition monitoring to enhance the machine time. Vibration-based condition monitoring can be applied in gear systems to detect the origination and expansion of fault before the occurrence of failure. Eventually, occurrence of …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 39–45 Read article
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Role of Radiation Therapy in the Management of Mycosis Fungoides
Abstract: Cutaneous T-cell lymphoma (CTCL) consists of spectrum of diseases of which Mycosis Fungoides and Sézary's syndrome are most common. Mycosis Fungoides (MF) is a low-grade, chronic lymphoproliferative disorder affecting skin caused by abnormal proliferation of CD4 + T-cells. The incidence of MF is showing an increasing trend all over the world. Also, it is seen twice as often in males as in females (2:1) and mostly it occurs after fourth …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 1, Issue 1, 2012 · pp. 6–15 Read article
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A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories
Abstract: Adequate management of the available resources in communal places like university dorms is important in improving the convenience of the students, and in providing optimal use of these facilities. This paper describes the design and implementation of a real-time system on efficient allocation of resources when it comes to laundry in a university dormitory. The system also seeks to counter the challenges that are prevalent among students such as long …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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Decision-making Under Certainty: a Linear Programming Approach towards Optimal Product Mix Decisions—a Case Study in Amhara Pipe Factory
Abstract: Manufacturing organizations highly benefit from proper allocation of resources (working capital, raw materials, labor power, working times, machinery, etc.) to optimize a product mix which is useful for profit maximization. The main purpose of this study is to critically examine the products produced in Amhara Pipe Factory to certainly decide which of these products must be given more attention or produced more in order to maximize the profit. The products …
Published in Journal of Production Research & Management · Vol. 9, Issue 3, 2019 · pp. 15–26 Read article
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Manufacturing Process Optimization by using New Cutting Method in Turning Centre
Abstract: Abstract: The paper is about the effects from a new cutting method. The constant depth of cut is commonly used in a turning centre for machining purpose. The new method has gradually increasing depth of cut nearer to the chuck of the machine. The workpiece is divided into sections and different depths of cuts are given at the sections. By using this method, the overall cut length decreases, the cycle …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 1, 2019 · pp. 7–11 Read article
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Optimizing Cellular Manufacturing Systems: Minimizing Production Time with Collaborative Robots (Cobots) using PSO
Abstract: This study focuses on the implementation of cobots in a cellular manufacturing system to minimize production time. The use of cobots, collaborative robots capable of working alongside human operators, aims to increase efficiency and reduce manual labor in the manufacturing process. The mathematical model presented in this research evaluates the impact of cobots on production time by considering various factors, including task times, machine setup, inspection, waiting, and idle times. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 22–27 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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IoT Enabled Production Scheduling
Abstract: In the world of high competition between various firms; it is important that firms plan their production in advance. This will help them maximize the use of available resource and facilities. Production scheduling discusses the process of assigning an order to machines considering the total time available, required time, type of order and to arrange these orders in such way that machine idle time is minimized. By legitimate planning, firms …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 16–23 Read article