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719 articles for “Engineering optimization”
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Recent research trends in Bioethanol production – An Indian context
Abstract: Biofuels production is indeed a research hotspot. Prevention is better than cure. A paradigm shift from fossil based to bio-based fuels gives health, wealth and happiness. Among various biofuels, after biodiesel, bioethanol is next to and close to commercialization. The use of bioethanol is countries like Brazil and US is a success story. In India there is significant progress taking place in the transportation sector to use bioethanol as fuel …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
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Side Lobe Reduction using Bacterial Foraging Optimization
Abstract: AbstractTo meet the need for long-distance communication, the directive characteristics and radiation pattern of the antenna must be improved. By arranging the antenna elements in an electrical or geometric pattern, such that the radiated energy of the radiation elements vector added in the desired direction of propagation and canceled in the unwanted direction, results in a better-designed antenna array. The elements of the antenna array may be uniformly or non-uniformly …
Published in Journal of Microwave Engineering and Technologies · Vol. 7, Issue 2, 2020 · pp. 7–15 Read article
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Review on Free Piston Linear Alternator
Abstract: This study presents the development methodology of the Free-Piston Linear Alternator/Generator (FPLG). The FPLG is a free-piston combustion engine with an integrated linear generator. The engine can be used as a range-extending device in an electric vehicle. Unlike conventional internal combustion engines, a free-piston linear engine has no a crankshaft, and thus the pistons move freely in the cylinder. This allows a free-piston linear engine to easily adjust the compression …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 8–18 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
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Analysis of Crashworthiness of Typical Helicopter and Design Optimization
Abstract: It is very important to make our helicopter crashworthy because it is 400 times more fatal than aircraft accidents and hence serious concern is required towards the crashworthiness of the helicopters. Our basic aim is to incorporate a material or a composite feasible enough to sustain tremendous amount of energy dissipated during the impact or crash or hard landing. We considered two very important components of the rotorcraft for our …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 27–39 Read article
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Current Trends in Optimization of Parameters of Electric Discharge Machining Process: A Review
Abstract: Wire-cut electrical discharge machining (EDM) is an emerging machining process for machining hard-to-machine materials and intricate shapes which are impossible to make with conventional machining process. The optimum selection of input parameters for the wire electrical discharge machining (WEDM) process is based mainly on the technology used and experience of the operator. This paper reviews the effect of most significant input process parameters of WEDM such as pulse on, pulse …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 25–33 Read article
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A Survey of Genetic Algorithm Applications in Nuclear Fuel Management
Abstract: The prime aim of nuclear fuel management is to achieve higher fuel utilization without compromising safety during reactor operation. Nuclear fuel management optimization is a classical nuclear engineering problem, which has been studied for more than four decades and several techniques have been used for its solution. Genetic algorithm is one among the major global optimization techniques, used in the field of nuclear fuel management. Aim of this paper is …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 45–62 Read article
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Advancing Automotive Design Through Virtual Prototyping and Finite Element Analysis
Abstract: Finite element analysis (FEA) and virtual prototyping are being incorporated, which is transforming the automotive sector. The design process is being revolutionized by emerging technologies, as this essay discusses, leading to automobiles that are more innovative safe, and efficient. With the help of virtual prototyping, engineers may construct, evolve, and optimize vehicle designs in an electronic environment, saving a lot of time and resources. This strategy is further enhanced using …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 7–12 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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Experimental Assessment and Statistical Argument of Al-Si/CSA/MoS2 Hybrid Composites for Mechanical and Tribological Characteristics
Abstract: To augment the mechanical and tribological properties of Al-Si matrix composites complement with molybdenum disulphide (MoS₂) and coconut shell ash (CSA), a mixed experimental and Face-Centered Composite (FCC)strategy was employed. A liquid metallurgical method called stir casting was used to create hybrid composites with 5–15 wt.% CSA and 1–3 wt.% MoS₂. A FCC experimental design with thirty runs was used to thoroughly evaluate the materials. This design allowed for the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 792–802 Read article
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Effective Reduction of Emissions of a DI Diesel Engine fuelled with Biodiesel and Diesel Blends with Oxygenated Additives
Abstract: Fatty acid methyl ester, popularly called biodiesel, has become more prominent alternate fuel for diesel engines on the basis of single-fuel concept. Since use of neat biodiesel on a large scale is raising certain constraints, both in terms of long-term availability of feed stock, fertile land and high NOx emissions, biodiesel is being adopted in blended form with petro-diesel fuel as B20 or B40. However, the HC and NOx emissions …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 2, 2012 · pp. 1–10 Read article
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Optimization of WEDM Process Parameters Using a Hybrid Multi-Criteria Decision Making Approach
Abstract: The effectiveness of the manufactured parts is typically measured by more than one performance characteristics. Hence the manufacturing engineers frequently experience the difficulty in optimizing the multiple responses at a time. The present work is to explore the effect of wire electrical discharge machining (WEDM) process parameters in machining of Aluminum metal matrix composite (AMMC). The multiple performance characteristics of material removal rate (MRR) and surface roughness (Ra) are optimized …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 24–30 Read article
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Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
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Incomplete Information and Expected Performance Characteristics of Heat Engines
Abstract: In this paper, a connection between Bayesian statistics and the optimal performance characteristics of thermodynamic heat cycles is proposed. In particular, the subjective ignorance about internal energy scales of the working medium, quantified as a prior distribution leads to an expected behaviour of heat cycles which shows some remarkable thermodynamic features. It is shown that efficiency at maximum work is closely related to Curzon-Ahlborn (CA) efficiency. This efficiency usually appears …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 17–24 Read article
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Optimization of Manufacturing Process of Booster Rocket to Reduce the Cost
Abstract: The spacecraft is launched into earth orbit or beyond with the help of boosters. After entering into earth orbit, the booster leaves the spacecraft and falls back into the earth after reaching a point called as booster engine cut-off (BECO). The spacecraft continues flight after leaving the booster with upper stage engines. Some of the boosters are recovered, reconstructed and reused. The boosters used for space shuttle are recovered and …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 1, 2018 · pp. 24–34 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article
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Bionanocomposites in Green Synthesis of Bioplastics - The Composite Materials of Future & Their Role in Circular Bio-Economy
Abstract: The pervasive use of petroleum-derived plastics has caused severe environmental pollution, accumulating in landfills and oceans while threatening human and animal health. This ecological crisis has accelerated an urgent transition toward biodegradable polymers within the circular bioeconomy. Bionanocomposites, comprising a biodegradable polymer matrix integrated with nanoscale fillers, successfully bridge the gap between high industrial performance and environmental responsibility. By incorporating advanced nanofillers such as cellulose nanocrystals, chitin nanofibers, layered silicates …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 Read article
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Design for Additive Manufacturing (DFAM) Leveraging 3D Printing to Optimize Machine Components
Abstract: Design for Additive Manufacturing (DFAM) is a new methodology that focuses on maximizing the special potential of 3D printing technologies to optimize machine components. Contrasting to traditional manufacturing processes, additive manufacturing (AM) makes it feasible to create complicated shapes that would be impossible or difficult to do using standard methods like casting or machining. This study explores the principles of DFAM, including the advantages it offers in terms of design …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 9–14 Read article
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Innovative Design and Implementation of PCD-Based Drawing Dies and Tungsten Carbide Molds for Automotive Fastener Manufacturing
Abstract: This study presents an integrated engineering investigation into the design, optimization, and implementation of advanced tungsten carbide and polycrystalline diamond (PCD) tooling technologies within the cold forging and wire drawing processes at Koobesh Kavir Semnan Company, one of Iran’s leading automotive fastener manufacturers. By combining powder metallurgy principles, material flow simulation, and experimental validation, this research introduces a technological advancement that improves productivity, tool longevity, and cost-efficiency in industrial production. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 16–26 Read article
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Exploring the Impact of Process Parameters on 3D Printing: A Comprehensive Review for Enhanced Product Quality
Abstract: Rapid developments in 3D printing technology have dramatically changed a wide range of industries, from consumer products and healthcare to automotive and aerospace. 3D printing is a process of manufacturing where material is deposited layer over layer which are previously deposited to provide the design shape to the desired products. This process has eliminated the numerous machining processes which were required to manufacture the products previously. The modification of process …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 975–996 Read article