Search
9 articles for “Casting defects”
-
Injection Parameters Setting in High-Pressure Die Casting
Abstract: The advancement of science and processing technology is highly essential for the development of human civilization for a better life. Mass production leads to the availability of goods at a lesser price. Aluminium die-cast components are widely used in the automobile, aerospace, and consumer goods market. Proper process parameters are required to produce components with minimum rejections and scrap. This paper studies optimum injection parameters to produce components without defects. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 135–142 Read article
-
Gypsum Addition in Moulding Sand to Manufacture Defect Free Tin Castings
Abstract: Sand molding is a versatile casting process that provides freedom of design with respect to size, shape, and product quality. Plaster casting is similar to sand molding process except that a plaster is substituted instead of sand. Plaster compound is composed of gypsum, which strengthens the mould. Parts made by this process are gears, valves, fittings, tooling, and ornaments. The finished product of plaster casting has a very high surface …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 7–15 Read article
-
Squeeze Casting of Hybrid Aluminum Matrix Composites: A Critical Review of Process Optimization, Reinforcement Strategies, and Performance Outcomes
Abstract: Increasing demand for lightweight, performance-oriented components in automotive, aerospace, and defense industries has driven advancements in squeeze casting, a hybrid technique merging forging and die-casting advantages to produce near-net-shape aluminum matrix composites (AMCs) with superior mechanical-tribological properties. This review critically examines the interplay of process parameters (e.g., squeeze pressure: 70–150 MPa, melt temperature: 650–800°C), reinforcement characteristics (volume fraction ≤10%, particle size: 10–71µm), and interfacial engineering strategies (flux-assisted bonding, ultrasonic dispersion) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 52–60 Read article
-
A Review on Digital Twin Technology in Robotics
Abstract: Digital Twin (DT) technology has emerged as a transformative concept in robotics and automation, enabling virtual representation of physical systems, real-time monitoring, and performance optimization. This review explores the foundations of Digital Twin, its integration in robotic systems, key enabling technologies, applications, current challenges, and future research directions. The paper concludes by highlighting how Digital Twin transforms design, control, prediction, and human-robot collaboration.Digital Twin technology is transforming the field of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
-
An Experimental Study on Multi-Criteria Parameters Optimization of Process for Al6351/SiC/Gr Metal Matrix Composites Using AHP-TOPSIS Approach
Abstract: This research focuses on optimizing the process parameters of Wire Electrical Discharge Machining (WEDM) for a hybrid Metal Matrix Composite (MMC) comprising Al6351 aluminum alloy reinforced with 4% SiC and 6% graphite (Gr), fabricated via squeeze casting. This technique enables the formation of dense, defect-free composites with uniform reinforcement distribution, enhancing both mechanical properties and structural integrity. Microstructural characterization using Scanning Electron Microscopy (SEM) confirmed the even dispersion and bonding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 303–319 Read article
-
Enhancements in Titanium Matrix Composites: A Multifaceted Exploration of Various Structural Ceramics Reinforcement
Abstract: This research study delves into the comprehensive exploration of Titanium Matrix Composites (TMCs) reinforced with Silicon Carbide (SiC), Alumina (Al2O3), and Boron Nitride (BN). The investigation is structured into three key phases, each addressing essential aspects of TMCs: Phase 1 involves materials and manufacturing, where TMC coupons were fabricated through the stir casting technique with varying compositions of aluminum and silicon carbide. Phase 2 focuses on characterization and defect detection, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 83–94 Read article
-
Enhancing The Mechanical Performance of Al6061/Graphite Composites Reinforced with Sic and Aluminium Oxide Processed by Stir Casting
Abstract: The study investigates the mechanical properties of aluminum alloy Al6061 reinforced with varying proportions of silicon carbide (SiC) (0 wt%, 4 wt%, 5 wt%, and 6 wt%) and aluminum oxide (Al₂O₃) (0 wt%, 4 wt%, 3 wt%, and 2 wt%), with a constant addition of 1 wt% graphite. The composites were fabricated using the stir casting process, an efficient and economical method for uniformly distributing ceramic reinforcements within the metal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 66–74 Read article
-
Tensile and Microstructural Behaviour of Friction Stir Welded AL7050 Hybrid Composites Reinforced with Multani Mitti and Cow Dung Ash
Abstract: The study examines Al7050 aluminum alloy composites made by stir casting and bonded by friction stir welding (FSW), supplemented with environmentally friendly Multani Mitti (MM) and cow dung ash (CDA). The study assesses the effects of different hybrid reinforcement contents (0–8 vol%) on the microstructural properties, hardness, and tensile behavior of the base alloy and its FSW joints. Tensile testing reveals an initial decline at 2% reinforcement but a notable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 78–89 Read article
-
Analysis of Machine Learning in Metal Processing: A Novel Prospect
Abstract: Metal is processed by a wide range of procedures, from forming and casting to machining and riveting. Metal processing is a crucial part of modern manufacturing. The application of machine learning (ML) is driving a significant change in the sector, which has historically depended on empirical knowledge and trial-and-error techniques. Increased production, improved product quality, and resource optimization are expected outcomes of this action. This study aims to explore the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 40–51 Read article