An Hua Peng

Bio: An Hua Peng is an academic researcher from Huaihai Institute of Technology. The author has contributed to research in topics: Grey relational analysis & Fuzzy number. The author has an hindex of 3, co-authored 11 publications receiving 73 citations.

Process-Parameter Optimization for Fused Deposition Modeling Based on Taguchi Method

Abstract: Aiming at such performance indexes in fused deposition modeling (FDM) as dimensional error (DE) and warpage deformation (WD), and selecting four process parameters, wire-width compensation (A), extrusion velocity (B), filling velocity (C), and layer thickness (D), as controlling factors, this paper optimized the four process parameters by means of Taguchi method combined with fuzzy comprehensive evaluation. The optimization results show that the parameter with the most significant influence on the performance indexes is A, followed by B, D, and C, and that the optimum combination of the process parameters is A1B1C2D3.

Research on the Interlayer Stress and Warpage Deformation in FDM

Abstract: s: Fused deposition modeling (FDM), a representative prototyping technology with no use of toxic materials, has been widely used in offices. The reason of interlayer stress and warpage deformation are analyzed in this paper. Under certain conditions, the calculating formula of interlayer stress and the stress-distributing diagram in cut planes are provided, and the mathematical model for warpage deformation calculation is also established. Besides, the influence of the various process parameters on the deformation, such as the number of deposition layers, scanning line length, chamber temperature, and layer thickness, is quantitatively analyzed with measurements provided to minimize deformation.

Methods of Improving Part Accuracy during Rapid Prototyping

Abstract: Improving part quality during rapid prototyping is the important problem. The part errors during rapid prototyping is classified in dimension error, shaped error and roughness of surface. The shaped errors have many forms in fused deposition modeling (FDM), largely including warpage deformation, stair-stepping effect, and so on. There are several reasons for the errors, including principle, process and equipment. The reasons inducing these errors are analyzed, and the measures improving part accuracy are proposed

Optimization Design of Extrusion Die Channels for Polymer Profile

Abstract: The objective function is the same flow speed of each sub-filed of product section at exit of the extrusion die for the complexity of hollow polymer profile, and design variables are impact on the flow uniformity of the space above the compression, the example based on finite element numerical simulation and based on the CAD/CAE/ERP database system, the result showed the velocity is obviously improved after the optimization, well positioned to meet the requirements of customer.

Optimization Design of Cooling System of Vacuum Calibrator for Plastics Profile Extrusion

Abstract: Plastic profile produced by extrusion die should be cooled down and calibrated by calibrator ,so the proper design of the cooling system in calibrator was very important to the profile quality .The cooling channels in calibrator were preliminarily designed according to target function, and peculiar heterotype optimum designs of the local cooling channels were carried out by means of numerical simulation , the cooling effect was improved obviously ,Based on enterprise resource planning ERP system and parallel project computer aided design/computer aided Engineering CAD/CAE intellectualized data-base network, design for the cooling system was more reasonable, and could meet the demands of customers much better.

Optimization of fused deposition modeling process parameters: a review of current research and future prospects

Abstract: Fused deposition modeling (FDM) is one of the most popular additive manufacturing technologies for various engineering applications. FDM process has been introduced commercially in early 1990s by Stratasys Inc., USA. The quality of FDM processed parts mainly depends on careful selection of process variables. Thus, identification of the FDM process parameters that significantly affect the quality of FDM processed parts is important. In recent years, researchers have explored a number of ways to improve the mechanical properties and part quality using various experimental design techniques and concepts. This article aims to review the research carried out so far in determining and optimizing the process parameters of the FDM process. Several statistical designs of experiments and optimization techniques used for the determination of optimum process parameters have been examined. The trends for future FDM research in this area are described.

A review of melt extrusion additive manufacturing processes: II. Materials, dimensional accuracy, and surface roughness

Abstract: Purpose – The purpose of this paper is to critically review the literature related to dimensional accuracy and surface roughness for fused deposition modeling and similar extrusion-based additive manufacturing or rapid prototyping processes. Design/methodology/approach – A systematic review of the literature was carried out by focusing on the relationship between process and product design parameters and the dimensional and surface properties of finished parts. Methods for evaluating these performance parameters are also reviewed. Findings – Fused deposition modeling® and related processes are the most widely used polymer rapid prototyping processes. For many applications, resolution, dimensional accuracy and surface roughness are among the most important properties in final parts. The influence of feedstock properties and system design on dimensional accuracy and resolution is reviewed. Thermal warping and shrinkage are often major sources of dimensional error in finished parts. This phenomenon is explor...

Mechanical Property Optimization of FDM PLA in Shear with Multiple Objectives

Abstract: This study presents the influences of key processing parameters on the resulting material properties of fused-deposition-modeled (FDM) polylactic acid (PLA) components tested in torsion. A reduced experimental matrix was produced through the use of a Taguchi L9 orthogonal array with three parameters at three levels each. The processing parameters included the layer thickness, infill density, and postprocessing heat-treatment time at 100°C. Testing of components at varying times is conducted to facilitate heat-treatment time testing range and show the effects of prolonged heating. The layer thickness and infill are tested across the entire useful range available for the FDM machine used. Shear stress–strain response curves are acquired and average ultimate shear strength, 0.2% yield strength, proportional limit, shear modulus, and fracture strain are calculated for each run. An analysis of results via regression analysis is used to determine influences levels of parameters of the mechanical properties. The layer thickness and infill density are shown to be of high importance when optimizing for strength, with heat-treatment implementation slightly improving the resulting properties. Ductility is mainly affected by infill and heat treatment, with layer thickness having only a slight effect on the fracture strain achieved. Recommendations are made based on results of a method to optimize for either strength or ductility and how to compromise between recommended settings when a balance between the two is desired. The ability to produce parts with mechanical properties at or near those of bulk PLA is shown.

An approach for mechanical property optimization of fused deposition modeling with polylactic acid via design of experiments

Abstract: Purpose This paper aims to present the influences of several production variables on the mechanical properties of specimens manufactured using fused deposition modeling (FDM) with polylactic acid (PLA) as a media and relate the practical and experimental implications of these as related to stiffness, strength, ductility and generalized loading. Design/methodology/approach A two-factor-level Taguchi test matrix was defined to allow streamlined mechanical testing of several different fabrication settings using a reduced array of experiments. Specimens were manufactured and tested according to ASTM E8/D638 and E399/D5045 standards for tensile and fracture testing. After initial analysis of mechanical properties derived from mechanical tests, analysis of variance was used to infer optimized production variables for general use and for application/load-specific instances. Findings Production variables are determined to yield optimized mechanical properties under tensile and fracture-type loading as related to orientation of loading and fabrication. Practical implications The relation of production variables and their interactions and the manner in which they influence mechanical properties provide insight to the feasibility of using FDM for rapid manufacturing of components for experimental, commercial or consumer-level use. Originality/value This paper is the first report of research on the characterization of the mechanical properties of PLA coupons manufactured using FDM by the Taguchi method. The investigation is relevant both in commercial and consumer-level aspects, given both the currently increasing utilization of 3D printers for component production and the viability of PLA as a renewable, biocompatible material for use in structural applications.