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532 articles for “Experimental approach”
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Enhancing Dimensional Accuracy of Affordable 3D-Printed Objects Via Solid Model Tuning For Industrial Manufacturing
Abstract: In the industrial applications of 3D printing (3DP) technologies, achieving precise dimensional accuracy and precision as well as improving surface quality are essential goals. With a focus on cost-effective engineering applications, this experimental research examines how solid model geometry tuning improves the internal and exterior dimensional accuracy of inexpensive 3DP technologies. Dimensional errors in the X, Y, and Z directions were meticulously measured on 3D parts made using Material Extrusion/Fused …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 201–210 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Experimental investigations on mechanical properties of AL8081 reinforced with B4C particulate Mmc’s
Abstract: The aluminium metal matrix composites are becoming emerging and most versatile material. Aluminium MMCs are widely used since the applications involved in automotive, unique structural, defence and aerospace. At the elevated temperature levels, the potentiality of Aluminium MMCs is very high. The metal matrix composites (MMCs) mainly mitigate the weight ratio. In this article, the aluminium metal is conjugated with B4C particulates by stir casting approach. The stir casting method …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 2, 2019 · pp. 12–16 Read article
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Utilization of Rice Husk Ash and Fly Ash in Construction Industry
Abstract: This experimental work is an effort to try to develop the awareness and importance of waste management and its utilization in productive manner among the people. In today’s more environmentally conscious world, a more responsible approach to the environment is to increase the use of by-products of one which is disposed off as waste as raw material for construction industry. Substitution of OPC cement by rice husk ash and fly …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 13–28 Read article
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers
Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable brazing strategy by examining the effects of filler material selection, brazing gap, cooling conditions and type of flux. In this study, polymer-derived composite interlayers were developed through controlled synthesis and nanocomposite engineering to mitigate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 524–540 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 1–8 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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An Experimental Study to Identify the Learning Needs of Patients with Tracheostomy and Evaluate Effectiveness of a Self Instructional Module (SIM) for Home Management of Patients in a Selected Hospital of Delhi
Abstract: Tracheostomies are becoming increasingly common both within the acute setting and the community. The number of tracheostomies performed has increased steadily due to rising incidence of head and neck cancer. As a result of this there is an expectation of increased knowledge and more advanced skills in caring for these patients both in health care setting and at home after discharge The objectives of the study were to identify and …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 1, 2015 · pp. 1–9 Read article
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A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article
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Study to Assess the Effectiveness of Child-to-Child Approach through Role Play on Knowledge Regarding Causes, Prevention and Management of Accidents Among School Going Children in Selected School of Bhilai, Chhattisgarh
Abstract: Death rate of children due to road traffic accident is high in India due to low-level enforcement of simple road safety measures in India, such as prohibition and monitoring of drunken driving, wearing helmets, seat belts and child restraints. School teachers should inculcate traffic safety among students and enforce traffic rules within the school premises. The mandatory use of child restraints can reduce child deaths by 35%.Method: A quasi-experimental study …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 1, 2017 · pp. 21–28 Read article
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Engine Performance Analysis of Cottonseed Based Biodiesel Using Design Expert Statistical Based Tool
Abstract: Biodiesel is a biofuel acquired by substance forms from vegetable oils or creature fats and liquor that can be utilized in diesel engines alone or mixed with diesel oil. It is characterized as the mono-alkyl esters of unsaturated fats got from vegetable oils or creature fats. In basic words biodiesel is the item that gotten when vegetable oil or creature fat is artificially responded with a liquor to deliver unsaturated …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
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A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes
Abstract: Diabetes mellitus is a global health concern characterized by chronic hyperglycemia and associated complications. The creation of innovative medicines with enhanced efficacy and safety profiles continues to be a top focus, notwithstanding improvements in treatment. A useful method in drug development, computer-aided drug design (CADD) makes it easier to identify possible therapeutic candidates and optimise lead molecules. An extensive synopsis of CADD tactics used in the fight against diabetes is …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 1–10 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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A Quasi Experimental Study to Assess the Effectiveness of Chewing Gum on the Bowel Motility among the Patients after Abdominal Surgery in Selected Hospital of New Delhi
Abstract: A quasi experimental study to assess the effectiveness of chewing gum on the bowel motility was conducted on the patients after abdominal surgery in selected hospital of New Delhi. The objectives of the study were to (i) To assess the bowel motility of patients after abdominal surgery in the experimental and control group (ii) To compare the bowel motility of patients after abdominal surgery in the experimental and control group …
Published in Research and Reviews : Journal of Surgery · Vol. 5, Issue 1, 2016 · pp. 1–6 Read article
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Design and Assessment of Fixed Dose Combination Containing Fenofibrate and Pravastatin Sodium in Tablet Formulation: A Bioinformatics Approach
Abstract: The aim of this is study is to formulate and evaluate fixed dose combination of Fenofibrate and Pravastatin sodium in tablet dosage for the treatment of Dyslipidemia. For the formulation and optimization of fenofibrate layer, two factor three level factorial design was used as experimental design for optimization with a minimum of nine run. All the nine trial (F1–F9) has been formulated according to the experimental design by wet granulation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 1, 2024 · pp. 1–20 Read article
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Experimental Investigations on the Effects of Channel Aspect Ratio and Surface Wettability to Control the Surface-Driven Capillary Flow of Water in Straight PMMA Microchannels
Abstract: AbstractTotal 214 individual straight polymethylmethacrylate (PMMA) microchannels have been fabricated by the maskless lithography, hot embossing lithography, direct bonding technique, and atmospheric pressure air dielectric barrier discharge (DBD) plasma processing. The experimental investigations on the effects of structural properties (channel aspect ratios) and physical properties (surface wettability, capillary pressure and kinetic energy) on the surface-driven capillary flow of dyed water in straight PMMA microchannels is a novel approach in this …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 1–12 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article