A review on environment friendly and lightweight Magnesium-Based metal matrix composites and alloys

Kumar, Dinesh; Phanden, Rakesh Kumar; Thakur, Lalit

doi:10.1016/j.matpr.2020.07.424

Cited by 83 publications

(22 citation statements)

References 22 publications

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“…An enhanced modeling of material behavior is demanded for the integration of experimental and numerical analysis. Constitutive models of plasticity at the micro-and macroscales are able to describe the elastic and plastic behavior of metallic materials [35][36][37][38][39], ceramic materials [40], porous media [41], fibered sheets [42][43][44][45], gradient materials [46,47], composites [48][49][50][51], and forms [52]. Novel constitutive modeling approaches take into account the change in flow stress depending on such parameters as deformation, deformation speed, the strain hardening phenomenon, the change of orientation of strain state components, temperature, deformation history, and the hardening rule [53][54][55].…”

Section: Finite Element Methodsmentioning

confidence: 99%

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Trzepieciński

Dell’Isola

Lemu

2021

Metals

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The concept of Industry 4.0 is defined as a common term for technology and the concept of new digital tools to optimize the manufacturing process. Within this framework of modular smart factories, cyber-physical systems monitor physical processes creating a virtual copy of the physical world and making decentralized decisions. This article presents a review of the literature on virtual methods of computer-aided manufacturing processes. Numerical modeling is used to predict stress and temperature distribution, springback, material flow, and prediction of phase transformations, as well as for determining forming forces and the locations of potential wrinkling and cracking. The scope of the review has been limited to the last ten years, with an emphasis on the current state of knowledge. Intelligent production driven by the concept of Industry 4.0 and the demand for high-quality equipment in the aerospace and automotive industries forces the development of manufacturing techniques to progress towards intelligent manufacturing and ecological production. Multi-scale approaches that tend to move from macro- to micro- parameters become very important in numerical optimization programs. The software requirements for optimizing a fully coupled thermo-mechanical microstructure then increase rapidly. The highly advanced simulation programs based on our knowledge of physical and mechanical phenomena occurring in non-homogeneous materials allow a significant acceleration of the introduction of new products and the optimization of existing processes.

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Section: Finite Element Methodsmentioning

confidence: 99%

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Trzepieciński

Dell’Isola

Lemu

2021

Metals

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“…In recent years, industrial fields such as aerospace and automotive industries have required improvements in the fuel efficiency of transportation equipment and reductions in product weight in terms of both materials and manufacturing technology. Regarding materials, lightweight materials are widely used to replace denser materials [1,2]. In particular, magnesium (Mg) alloys possess great advantages, such as being the lightest metal material employed in manufacturing, as well as high specific strength and stiffness [3].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Cooling Effect and Dimensional Accuracy of Wire and Arc Additive Manufactured Magnesium Alloy by Active-Cooling-Based Contacting Copper Blocks

Nagamatsu

Sasahara

2022

JMMP

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Wire and arc additive manufacturing (WAAM) employing a magnesium (Mg) alloy is superior in terms of safety, energy efficiency, and deposition rate when compared with a process that utilizes lasers and powder materials. However, problems with WAAM employing an Mg alloy include poor dimensional accuracy due to low viscosity of the molten Mg alloy. In addition, since Mg alloys cause a combustion reaction with water, an effective cooling method, such as direct water cooling, cannot be applied. In this study, a solid contact-based active cooling method employing copper blocks with high thermal conductivity was proposed to improve the dimensional accuracy and cooling efficiency of fabricated objects using AZ31. Moreover, the proposed method renders it possible to fabricate a wall structure with high flatness as the molten AZ31 solidifies upon direct contact with the flat surface of copper blocks. In addition, the copper blocks harboring an internal water circulation system achieved a higher cooling efficiency and shortened the interval cooling time between the deposition of subsequent layers. Meanwhile, it was discovered that the arc deflected toward the copper blocks, not onto the substrate or the previous layer when the wire tip approached too close to the blocks.

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“…The trends of today’s automotive industry are energy saving, environmental protection and safety. Under the premise of ensuring the safety of the car, reducing the weight of vehicles can effectively achieve energy savings and reduce emissions [ 1 , 2 ]. The advantages of high strength, recyclability and good performance make aluminum alloy one of the most ideal materials in current automotive lightweighting technology [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Research on High Temperature Stamping Forming Performance and Process Parameters Optimization of 7075 Aluminum Alloy

Huang

et al. 2021

Materials

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The stress strain curve of 7075 aluminum alloy in the temperature range of 310 °C to 410 °C was obtained by Gleeble-3800. By Nakazima test, the isothermal thermoforming limit diagrams of 7075 aluminum alloy at different deformation temperatures and stamping speeds were acquired. Moreover, the parameters of automotive S-rail hot stamping process were optimized by GA-BP neural network. The results show that the forming limit curve of 7075 aluminum alloy increases as the deformation temperature and stamping speed increase. The predicted optimal parameters for hot stamping of automotive S-rails by GA-BP neural network are: stamping speed is 50 mm/s, friction coefficient between die and blank is 0.1, and blank holder force is 5 kN. The maximum thinning rate at this process parameter is 9.37%, which provided a reference for 7075 aluminum alloy automotive S-rail hot stamping.

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A review on environment friendly and lightweight Magnesium-Based metal matrix composites and alloys

Cited by 83 publications

References 22 publications

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Improvement of Cooling Effect and Dimensional Accuracy of Wire and Arc Additive Manufactured Magnesium Alloy by Active-Cooling-Based Contacting Copper Blocks

Research on High Temperature Stamping Forming Performance and Process Parameters Optimization of 7075 Aluminum Alloy

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