scholarly journals Analysis of the main factors affecting mass production in the plastic molding process by using the finite element method

2021 ◽  
Vol 6 (1 (114)) ◽  
pp. 65-71
Author(s):  
Hani Mizhir Magid ◽  
Badr Kamoon Dabis ◽  
Mohammad Abed alabas Siba

Plastic injection molding is widely used in many industrial applications. Plastic products are mostly used as disposable parts or as portable parts for fast replacements in many devices and machines. However, mass production is always adopted as an ideal method to cover the huge demands and customers’ needs. The problems of warpage due to thermal stresses, non-uniform pressure distribution around cavities, shrinkage, sticking and overall products quality are some of the important challenges. The main objective of this work is to analyze the stress distribution around the cavities during the molding and demolding to avoid their effects on the product quality. Moreover, diagnosing the critical pressure points around and overall the cavity projection area, which is subjected to high pressure will help to determine the optimum pressure distribution and ensure filling all cavities at the same time, which is another significant objective. Computer-aided design (CAD) and CATIA V5R20 are adopted for design and modeling procedures. The computer-aided engineering (CAE) commercial software ABAQUS 6141 has been dedicated as finite element simulation packages for the analysis of this process. Simulation results show that stress distribution over the cavities depends on both pressure and temperature gradient over the contact surfaces and can be considered as the main affecting factor. The acceptable ranges of the cavity stresses were determined according to the following values: the cavity and core region temperature of 55–65 °C, filling time of 10–20 s, ejection pressure 0.85 % of injection pressure, and holding time of 10–15 s. Also, theoretical results reveal that the uniform pressure and temperature distribution can be controlled by adjusting the cavities layout, runner, and gate size. Moreover, the simulation process shows that it is possible to facilitate and identify many difficulties during the process and modify the prototype to evaluate the overall manufacturability before further investing in tooling. Furthermore, it is also concluded that tooling iterations will be minimized according to the design of the selected process

2014 ◽  
Vol 564 ◽  
pp. 752-757
Author(s):  
M.N.A. Noordin ◽  
R.M. Hudzari ◽  
S.M. Sapuan ◽  
M.A.H.A. Ssomad

Dioscorea hispida is a poisonous plant normally found in forest where scientific studies have shown that its tuber contains toxic poison and can be consumed after its poison is removed. Traditionally the tubers were placed in flowing river water for several days. In the harvesting aspect, an innovative hand tool were conceptually designed to replace the traditional hoe or “cangkul”. Using IMADA digital force gauge to measure the force required for pulling out the tuber and reverse engineering methods, an innovative hand tool were designed and developed. The results from experiments showed that the force required for harvesting the Dioscorea hispida tuber is found significant with its weight versus regression squared (R2) of 0.86. The information of optimum force required from field experiment is used to model the simulation and practicality in Computer Aided Design (CAD) environment system. The finite element on stress distribution on selected material of hand tool was simulated by uploading the material characteristic on simulation program embedded in Solidworks software. The end result of the simulation is based on visualization of analysis in Solidworks while producing the hand tool for designing and fabrication from material which is lighter and stronger.


Author(s):  
Mr. Ratnakar Lande ◽  
Prof. Prashant Awachat ◽  
Prof. Tejpal Parshiwanikar

FEA is used in this research to describe the stress distribution of a seizure on a piston four stroke engine. Computer-aided design (CAD) software is used to do the finite element analysis. The major goal is to explore and analyse the thermal stress distribution of the piston during the combustion process in a real engine. The mesh optimization is described in this study, which uses a finite element analysis technique to anticipate the component's greater stress and critical region. The piston's upper end, which includes the piston head/crown, as well as the piston skirt and sleeve, is optimised to reduce stress concentration. The structural model of a piston will be developed using computer-aided design (CAD) and Pro/ENGINEER software. Furthermore, the finite element analysis was carried out with the ANSYS software.


Author(s):  
Shiro Kobayashi ◽  
Soo-Ik Oh ◽  
Taylan Altan

The application of computer-aided design and manufacturing techniques is becoming essential in modern metal-forming technology. Thus process modeling for the determination of deformation mechanics has been a major concern in research . In light of these developments, the finite element method--a technique by which an object is decomposed into pieces and treated as isolated, interacting sections--has steadily assumed increased importance. This volume addresses advances in modern metal-forming technology, computer-aided design and engineering, and the finite element method.


2018 ◽  
Vol 18 (4) ◽  
pp. 329 ◽  
Author(s):  
AmandaMaria de Oliveira Dal Piva ◽  
GabrielaFernandes da Fonseca ◽  
GuilhermeSchmitt de Andrade ◽  
JoaoPaulo Mendes Tribst ◽  
AlexandreLuiz Souto Borges

2018 ◽  
Vol 15 (3) ◽  
pp. 414-421
Author(s):  
Haykel Marouani ◽  
Tarek Hassine

Purpose Pin-loaded hubs with fitted bush are used in industrial connector-type elements. They are subjected to varying radial forces leading to variable stress distribution. The literature provides various pressure distribution expressions adapted essentially for symmetric geometries and fixed load condition (circular hubs, half-infinite geometries, axial load, tangential load, etc.). This study aims to take into account the geometrical conditions of industrial connector-type elements and presents a model for pressure distribution based only on geometric parameters, maximal pressure and contact angle value for the case of fit pin-loaded hub. Design/methodology/approach The finite element computation for the contact problem shows that the pressure distribution of the pin-loaded hub under various inclined forces (from 0° to 180°) is a parabolic distribution. This distribution can be defined by three parameters which are θA, θB and Pmax. The study assumes that the distribution is symmetric and that Pmax can be modeled using force F, hub radius R, hub thickness b and the half contact angle are θA. Findings The new proposal pressure distribution parameters are easy to identify. Even for the non-symmetric pressure distribution, the study denotes that the errors on evaluating θA and θB keep the analytical model still in good agreement with finite element computations. Research limitations/implications Only the neat fit case was studied. Practical/implications Pin-loaded joints are connector-type elements used in mechanical assemblies to connect any structural components and linkage mechanisms such as connecting rod ends of automotive or shear joints for aircraft structure. Originality/value The good correlation between finite element computations and model results shows the validity of the assumptions adopted here. Analytical fatigue models, based on this stress distribution, could be derived in view of a fatigue lifetime calculation on connecting hub. Friction, pin deformation and local plastic effects under pin-loading are the main phenomena to take into account to further enrich this model.


2018 ◽  
Vol 7 (4.27) ◽  
pp. 148
Author(s):  
Wan Muhammad Syahmi Wan Fauzi ◽  
Abdul Rahman Omar ◽  
Helmi Rashid

Recently, studies concerning motorcycle have been an overwhelming area of research interest. As an alternative to the real world assessment, researchers have utilized motorcycle simulator as a workstation to conduct studies in the motorcycle niche area. This paper deal with the development of a new motorcycle simulator named Semi-Interface Motorcycle Simulator (SiMS). Combination of Computer Aided Design (CAD) and Finite Element Analysis (FEA) software made it possible to design and simulates the motorcycle simulator’s conceptual design before being fabricated. The SiMS setup not only provides a near-to-real and immerse motorcycle riding experience on a super sport motorcycle model, but it also allows safer high speed motorcycle simulations to be conducted in a controlled environment that is portable and ergonomically easier to transport to various venues.  


Author(s):  
Josh Danczyk ◽  
Krishnan Suresh

Microfluidic devices exhibit a high-aspect ratio in that their channel-widths are much smaller than their overall lengths. High-aspect geometry leads to an unduly large finite element mesh, making the (otherwise popular) finite element method (FEM) a poor choice for modeling microfluidic devices. An alternate computational strategy is to exploit well-known analytical solutions for fluid flow over the narrow channels of a device, and then either (a) assume the same analytical solutions for the cross-flow regions, or (b) exploit these solutions to set-up artificial boundary conditions over the cross-flow regions. Such simplified models are computationally far superior to brute-force FEM, but do not support the generality or flexibility of FEM. In this paper, we propose a third strategy for exploiting the analytical solutions: (c) directly incorporate them into standard FE-based analysis via algebraic reduction techniques. The advantages of the proposed strategy are (1) designers can use standard computer-aided design/computer-aided engineering (CAD/CAE) environments to model, analyze, and postprocess microfluidic simulation; (2) well-established dual-weighted residuals can be used to estimate modeling errors; and (3), if desired, one can eliminate the dependency on analytical solutions over selected regions, and instead revert to brute-force FEM. The simplicity and generality of the proposed method is inherited from the model reduction process, so are its theoretical properties, while simultaneously its computational efficiency is inherited from the use of analytical solutions.


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