Search
981 articles for “material optimization”
-
Investigation of Local Weighting Materials as a Substitute To Barite In Drilling Mud Formulation
Abstract: Weighting materials are important components needed to increase the density of drilling mud in order to provide enough hydrostatic pressure to balance abnormalpore pressures. In Nigeria, millions of dollars are spent annually in importing barite to serve this purpose. However, there exists large reserves of weighting materials such as barite, hematite, dolomite, calcite, ilmenite in Nigeria hence the need to investigate the suitability of these materials as substitute for imported …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 39–48 Read article
-
AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
-
Polymer Electrolytes for Flexible Energy Storage
Abstract: The research explores polymer electrolytes as promising materials for flexible energy storage applications, driven by the growing demand for wearable and portable electronics. Polymer electrolytes, including solid, gel, and composite types, offer key advantages such as mechanical flexibility, lightweight design, and improved safety over traditional liquid electrolytes. This study reviews recent developments in materials like polyethylene oxide (PEO), polyvinylidene fluoride (PVDF), and ionic liquid-based systems, focusing on their ionic conductivity, …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 27–35 Read article
-
Latest Research Trend of Optimization Techniques and Considerable Parameters in Wire Electrical Discharge Machining (WEDM): Review Article
Abstract: Wire electrical discharge machining (WEDM) is a non-conventional machining method with unique capabilities. WEDM offers a better alternative or sometimes the only alternative to produce complex shaped features and components of difficult-to-machine materials. In today’s highly competitive manufacturing industries, manufacturer’s ultimate goal is to produce high quality product with less time and cost constraint. To achieve these goals, one of the considerations is by optimizing the machining process parameters such …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 30–53 Read article
-
Reinforcement Learning for Adaptive Sensing with Shape Memory Polymer-Based IoT Nodes
Abstract: The rapid expansion of intelligent sensing in the Internet of Things (IoT) has revealed the pressing need for materials and algorithms capable of self-adaptation in volatile environments. Conventional polymer-based sensors and static control strategies often fail to capture nonlinear thermo-mechanical dynamics, leaving them unsuitable for unpredictable operating conditions. Although prior studies have improved polymer composites or introduced algorithmic optimization independently, few attempts have coupled the adaptability of smart materials with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 370–391 Read article
-
Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum–Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 19–35 Read article
-
Investigation to Enhance Performance of Finned U-Tube Shell-and-Tube Heat Exchangers Using Epoxy Based Polymer Composite Material
Abstract: Shell-and-tube heat exchangers remain indispensable in thermal engineering systems; however, conventional metallic configurations often face challenges related to corrosion, weight, and limited thermal optimization. In this study, a novel approach is proposed by integrating epoxy-based polymer composite materials with finned U-tube geometries to enhance thermo-hydraulic performance while addressing material limitations of traditional systems. The work focuses on the development and evaluation of a hybrid heat exchanger comprising a mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 618–633 Read article
-
Optimization of Machining Parameters on End Milling of EN 8 Back Shaft for Power Press
Abstract: The most of the industries carried out various machining processes are the heart of any industries. The processes are advanced day by day in order to achieve goal of efficiency. The paper state about one of the process namely end milling on experimentally investigates the effect of input parameters on material removal rate and surface roughness for key way cut on particular back shaft. Design of experiment carried out by …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 49–58 Read article
-
Self-Healing Structural Polymer Composites Incorporating Bio-Inspired Nanofillers
Abstract: Self-healing polymer composites become an attractive family of intelligent materials that are capable of autonomously repairing damage, which will enhance their durability, reliability and service life in extreme engineering applications. The materials are based on the principles of nature, using the nanofillers that are derived from biological systems to improve mechanical properties and self-healing capabilities by utilizing hierarchical structures and multifunctional interface interactions. The recent developments on the formulation of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
A Study on Response Parameters of Injection Moulding Process in Polypropylene Plastic using Grey Relational Analysis
Abstract: The purpose of this research is to study multi-response optimization of injection moulding parameters and to verify the optimum parameters of polypropylene for achieving the best result. The four parameters taken for injection moulding are injection pressure, melt temperature, packing pressure and packing time. The experiments are plotted by using L27orthogonal array. Orthogonal array is generated with the help MINITAB-17. The effect of process parameters such as melt temperature, packing …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 30–39 Read article
-
Computational Analysis of Leaf Spring System with Functionally Graded Materials Using ANSYS
Abstract: Leaf springs are important parts of a vehicle’s suspension system, and their main function is to absorb shocks, improve stability, and make the ride more comfortable. Traditionally, ASTM A36 steel is used because it is strong, long-lasting, affordable, and easy to get. However, this type of steel is very dense, which makes vehicles heavier. This extra weight makes the vehicle less efficient and increases emissions. Because of these issues, there …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 380–397 Read article
-
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
-
Design and Characterization of High-Performance Polymer Nanocomposites for Aerospace Applications
Abstract: Polymer nanocomposites have revolutionized aerospace materials through mechanical strength, thermal stability, and lightness. A number of polymer matrices filled with nanofillers such as carbon nanotubes, graphene, and nanoclay considerably improved structural integrity, flame resistance, and environmental adaptability. However, fabrication techniques are still being optimized so that nanofillers are properly dispersed throughout, which may create contradictions between mechanical strength and process ability. This work tries to design and characterize high- performance …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 178–193 Read article
-
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
-
Solid Rocket Motor Case: A Review of Existing Design and Composite Material Criteria
Abstract: Solid propulsion systems are an integral part of inaugural vehicles for many space agencies because of their relatively simple design and high reliability. The solid propulsion rocket motor case design, including the material used for fabrication, is an important aspect as it affects the solid rocket motor's performance, reliability, and safety. In this abstract, an attempt has been made to review the most commonly used materials in the manufacture of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 224–232 Read article
-
Evaluate and Compare the Effect of Water of Different Hardness Levels on the Surface Irregularity in 3 Different Heat-Polymerized Denture Base Resins
Abstract: This study aimed to evaluate and compare the effect of water with varying hardness levels on the surface irregularity of three different heat-polymerized denture base resins. The hardness of water used in dental applications has been shown to influence the properties of dental materials, including denture base resins. In this study, three commonly used heat-polymerized denture base resins were subjected to immersion in water with different hardness levels. The surface …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 130–136 Read article
-
Crystalline and Polymeric Interactions in Multi- layered Bulletproof Glass: A Study of Ballistic Resistance and Structural Integrity
Abstract: Bulletproof glass is engineered to withstand high-impact projectiles, offering a critical line of defense in various industries such as banking, military, and armored vehicles. This study explores the structural composition, energy absorption mechanisms, and performance characteristics of bulletproof glass when exposed to ballistic threats. The glass consists of layered constructions, often involving polycarbonate and adhesive interfaces such as polyvinyl butyral, which enhance its energy absorption and resistance to projectiles. The …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 10–17 Read article
-
Harnessing Biomass for Sustainable Insect Farming and Biotechnology: Ecological Roles, Industrial Applications, and Future Opportunities
Abstract: Biomass, derived from biological materials, such as plant residues, animal waste, and agricultural by-products, plays a pivotal role in ecological systems, including those involving insects. Insects interact with biomass at multiple levels, serving as decomposers, pollinators, and converters of organic matter into valuable resources. The integration of biomass into insect ecology and farming has garnered significant attention for its potential in sustainable agriculture, waste management, and biotechnology. This review highlights …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 17–21 Read article
-
Automation in Waste Management: How AI and Robotics Transforming Waste Sorting and Recycling
Abstract: Waste management is a big issue in the modern world, and it gets worse as urbanisation and industry increase. Hazards to the environment and human health result from traditional waste management practices' inability to effectively classify, recycle, and dispose of garbage. Robotics and artificial intelligence (AI) provide creative ways to improve trash processing, sorting, and collection. This article examines the application of robotics and artificial intelligence (AI) to waste management, …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
-
Challenges and Innovations in Designing Underground Reservoirs for Urban Water Management
Abstract: Drawing on the technical, environmental and social aspects of underground reservoirs, this research investigates their potential to improve urban water management. The study identifies main issues in reservoir design and deployment, analyses effectiveness of existing solutions to drought and flooding problems, and compares the application of new technologies and materials in the field, as well as considers views and attitudes of involve parties and citizens. The study used both quantitative …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 1–24 Read article