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293 articles for “Tooling Cost”
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Mathematical Analysis of Supply Chain Implementation on Indian Automotive Sector: An Information Communication Based Approach
Abstract: Technology is rapidly and continually evolving. Implementation of E-Business Processes (EBPR) within Supply Chain Practices is required in order to maximize revenue and customer satisfaction. Adoption of technical instruments in Information-Technology (IT) inside the Supply-Chain Process (SCP) is necessary to acquire competitive advantages. In order to obtain a competitive advantage, supply chain professionals must use cutting-edge technology technologies. Supply chain managers are now under pressure in every industry to increase …
Published in E-Commerce for Future & Trends Read article
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An Interlinked Connection between Safety and Quality Management in Construction
Abstract: Construction industry is a place where safety as well as quality is much required due to its fatality rate. According to 2016, 21.1% of worker fatalities were in construction industry. To gain profits and be successful in construction, the key elements are safety and quality, quality of construction and being safe during the construction results in best quality and good reputation for the organization in the global market. Safety and …
Published in Journal of Industrial Safety Engineering · Vol. 6, Issue 3, 2019 · pp. 1–6 Read article
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Comparison of Dynamic Postural Control with and Without Patellofemoral Pain Syndrome using Star Excursion Balance Test
Abstract: Dynamic postural control is to control posture in all dynamic activities. Balance control is much needed in all postures. It is either static or dynamic. Patellofemoral pain syndrome (PFPS) is a very common condition seen in adults as well as the elderly. Balance deficits are seen in subjects with PFPS; evaluation of the balance is a costly as well as time consuming. Majority of therapies do not have much concern …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 2, Issue 3, 2013 · pp. 1–6 Read article
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Monoclonal Antibodies in Next Generation Animal Nutrition: Mapping Nutrient Immune Interaction Networks in Livestock Systems
Abstract: Sustainable livestock production is increasingly constrained by disease pressure, antimicrobial resistance, and declining feed efficiency under intensifying environmental stressors. Conventional nutritional strategies, while essential, remain insufficient to precisely regulate immune function and metabolic resilience. This review explores the emerging role of Monoclonal antibodies as advanced biologics in next generation animal nutrition, with a focus on mapping nutrient immune interaction networks in livestock systems. It synthesizes current knowledge on how nutrients …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
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An Experimental Investigation of Process Parameters for Aluminum Alloy Composites
Abstract: The objectives of this work are to develop an aluminum alloy composites and investigate machining process parameters effect on the tool wear rate for composites. The composite is enhanced using silicon carbide and graphite. The composite is made by a method called stir casting. Furthermore, it is investigated both mathematically and experimentally. This study takes trial on aluminum alloy composite to see output characteristics tool wear rate are affected by …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 185–193 Read article
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Flame Spraying of Polymer-Abrasive Composites
Abstract: Polymer-based abrasive tools are distinguished by higher elasticity and resistance to chemically active media compared to tools with metal and ceramic binders. The former are effective at processing complex-profile and non-rigid surfaces. Tools based on coatings containing abrasive phenol- formaldehyde/epoxy resins and vulcanites are characterized by high cost and toxicity. In this paper, a study of composite flame-sprayed coatings, consisting of thermoplastic polymers and silicon carbide (volume ratio of 50-50), …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 96–104 Read article
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Adoption of Artificial Intelligence in Periodontal Diagnostics: Awareness, Confidence, and Barriers Among Dental Practitioners in India
Abstract: AI has emerged as a transformative tool in healthcare, including periodontics, where it aids in diagnosing periodontal diseases, assessing bone loss, and predicting disease progression. Despite its potential, the adoption of AI in dentistry, particularly in India, remains limited. This study aimed to evaluate the awareness, confidence, and willingness of dental practitioners to adopt AI-based tools in periodontal diagnostics. A cross-sectional survey was conducted among 106 dental practitioners, including general …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 27–38 Read article
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Physiological Monitoring Vest
Abstract: A firefighter saves so many life at huge risk. The working event site is so hazardous. Sometimes they die during their job of saving life of others. So the safety and health monitoring of firefighter should be on the top priority. As they work under extreme pressure conditions a proper system should be there which can do real time monitoring in order to keep them safe and improve there working …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 1–5 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article
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The Impact of High-Performance Computing on FEA and CFD Simulations
Abstract: The integration of advanced simulation techniques, such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), has transformed mechanical design by enabling engineers to develop optimized, efficient, and reliable systems. FEA is widely applied to analyze structural mechanics, thermal stresses, and vibrations, offering detailed insights into material behavior and design performance. On the other hand, CFD focuses on simulating fluid flow, heat transfer, and aerodynamic performance, making it indispensable …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 26–35 Read article
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Electrochemical Biosensors for Disease Diagnostics
Abstract: Electrochemical biosensors have emerged as one of the most promising tools for disease diagnosis because they combine high sensitivity, rapid response, portability, and low cost in a single analytical platform. In recent years, growing interest in early disease detection has pushed researchers to develop biosensors that can detect clinically important biomarkers in blood, saliva, urine, sweat, and other biological fluids. These sensors work through the interaction between a biological recognition …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 43–54 Read article
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Application of Ultrasound for Synthesis of Biodiesel
Abstract: The aim of study is to synthesize a biodiesel from soybean oil using ultrasonic process. At present, biodiesel is produced in batch reactors in which the required energy is provided by heating by mechanical mixing. Alternatively, ultrasonic processing is an effective way to attain required mixing providing the necessary activation energy. Ultrasonic is a very desirable tool for producing biodiesel from vegetable oil and animal fats, because it lowers the …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 1, 2015 · pp. 1–8 Read article
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Role of Energy Audit in optimizing the energy consumption cost of educational institution for energy conservation
Abstract: Regular electricity use at educational institutions has led to unintentional and intentional energy wastage. In view of reducing this wastage, energy audit is used as a tool to identify the possibility of energy conservation. The audit procedures are planned to get executed for Sir Isaac Newton Block(Mechanical Engineering, Electrical and Electronics Engineering) and Kalpana Chawla Block (Electronics and Communication Engineering and Computer Science and Engineering) at Rohini College of Engineering …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 42–52 Read article
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Slotting Attachment on Carriage of Lathe Machine
Abstract: Keyway is the process which is done on slotting machine. Generally keyway is generate on shaft, which is used in a different types of coupling for transmitting the power and hold together different parts. To accommodate key slot is providing either in shaft or in mounting devices or in both according to types of key, this is called or known as keyway. It’s reducing the strength of the part. In …
Published in Trends in Machine design · Vol. 6, Issue 1, 2019 · pp. 25–28 Read article
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Motorised Dual Side Shaping Machine with IoT Integration
Abstract: This work presents the design, fabrication and testing of a Motorised Dual Side Shaping Machine intended for small-scale workshops and educational laboratories, enhanced by an Internet of Things IoT based motor control system using the ESP32 microcontroller. The machine employs a 250 watt geared motor as the prime mover, transmitting power through a chain and sprocket mechanism to a 20 mm mild steel shaft supported on pedestal bearings (P204), where …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 26–35 Read article
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Budgetary Control and Timely Completion of Civil Engineering Projects Through Financial Management
Abstract: Financial management is critical for dealing with time delays and cost overruns in civil engineering. The methodology adopted in this study is questionnaires distributed to different construction professionals and surveys from some sites. Professionals consulted include engineers, contractors, and clients. Results show that most projects encounter time wastages, insufficient materials, and mismanagement of resources. Numerous time and cost management strategies assist in preventing cost overrun and schedule extension in civil …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 10–19 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT- based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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Optimization of process parameters in pocket milling of SAE304 based on tool path strategies using Taguchi method
Abstract: Surface roughness is the most significant factor in manufacturing industry to accept most of the machined components. In modern manufacturing CNC milling is one of the most commonly used machining process for different components. Pocket milling is building importance in plastic molding, Ship building and aircraft manufacturing. The surface finish is attained by finishing operations in most of the cases, which causes increase in production cost and time. This can …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 49–56 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article