Predicting surface quality of γ-TiAl produced by additive manufacturing process using response surface method

2016 ◽  
Vol 30 (1) ◽  
pp. 345-352 ◽  
Author(s):  
Abdulrahman Al-Ahmari ◽  
Mohammad Ashfaq ◽  
Abdullah Alfaify ◽  
Basem Abdo ◽  
Abdulrahman Alomar ◽  
...  
2021 ◽  
Author(s):  
Hassen Mosbah ◽  
Slimen Attyaoui ◽  
Rachid Nasri

Abstract The countersinking process is affected by many factors including the tools and the workpiece parameters. Some forming phenomena such as the knife-edge affect the quality of the countersunk hole. Up to now, many kinds of research rely mainly on the experiments which lead to poor quality and difficult control of this process. In this paper, a proposed numerical optimization of the countersinking process is developed to obtain a normalized countersunk hole. This optimisation approach is based on the response surface method (RMS), design of experiments (DOE) and the sequential quadratic programming (SQP). Finite element model is performed with an elasto-plastic behaviour for simulating the process. A configuration with an imposed displacement applied to the blank holder is adopted in this study. The comparison between the results of the numerical model and the experiments showed a good agreement.


2005 ◽  
Vol 38 (1) ◽  
pp. 253-258
Author(s):  
Daniel LEPADATU ◽  
Xavier BAGUENARD ◽  
Abdessamad KOBI ◽  
Ridha HAMBLI ◽  
Luc JAULIN

Measurement ◽  
2016 ◽  
Vol 88 ◽  
pp. 223-237 ◽  
Author(s):  
Sergio Luiz Moni Ribeiro Filho ◽  
Carlos Henrique Lauro ◽  
Alysson Helton Santos Bueno ◽  
Lincoln Cardoso Brandão

2013 ◽  
Vol 371 ◽  
pp. 394-398 ◽  
Author(s):  
Adrian Popescu ◽  
Liana Hancu ◽  
Paul Bere

Polymeric material's extrusion is a very complex manufacturing process opened for new research. In this paper the authors use for extrusionpolyamide 6.6reinforced with 20% glass fibres. This material offers very good mechanical, thermal and frictional proprieties. The improvement of these proprieties can be realized through the optimization of the extrusion process. Temperature is a very important parameter for obtaining good quality products, so to choose the proper values of it, is an interesting challenge. It was proved that the main influence upon the product's quality have the temperatures from the metering zone and from the forming zone so the optimization of these is of maximum importance for the quality of the products. The Response Surface Method (RSM), based onANOVA - Analysis of Variancemodel was used for optimization the temperatures from the metering zone and from the forming zone.


Author(s):  
Il Hyuk Ahn ◽  
Seung Ki Moon ◽  
Guijun Bi

According to the increasing needs of three-dimensional printing technologies to satisfy high-level requirements, customization, and complicity, the quality of three-dimensional printed part becomes an important issue due to the layer-wise nature of additive manufacturing process. The objective of this study is to propose a methodology to identify the quality of three-dimensional printed parts with circular holes in the laser aided additive manufacturing process. We utilize a response surface methodology to represent the relationship between input variables (chord height tolerance and diameter of a hole) and response (geometric error) for evaluating the geometric accuracy of the three-dimensional printed parts with the diameter of holes. From the calculated response surface methodology, we conclude that the proposed methodology can be utilized as a process design guide to guarantee the quality of a part printed from the laser aided additive manufacturing process. The efficiency and limitations of the proposed methodology are verified by conducting a case study.


2018 ◽  
Vol 53 (13) ◽  
pp. 1791-1802
Author(s):  
Mehrdad Hosseinalizadeh ◽  
Mehdi K Dolatabadi ◽  
Saeed S Najar ◽  
Reza E Farsani

Nowadays, hybrid yarns, which consist of at least one-component thermoplastic fibers, are used in thermoplastic textile composites. The uniformity of the fibers in hybrid yarns is a key factor that directly influences the composite properties. Accordingly, one of the main aims of the present research was to optimize the air texturing parameters to achieve the uniform blending of Kevlar/polypropylene fibers. To evaluate the blending uniformity of yarns, the radial, lateral and angular distribution of fibers, based on the position of the pixels of the constituent fibers, was evaluated using the image processing data of yarn cross sections. According to this method, the production parameters, namely, blend ratio, delivery speed, feed rate and air pressure, were optimized simultaneously via the response surface method to obtain the blending uniformity of the fibers. The uniform blending distribution could be achieved by a higher blend ratio of Kevlar/PP (1:6), a lower production speed (300 m/min), a higher feed rate (500 m/min), and a higher air pressure (10 bar). Eventually, it was confirmed that there was a good correlation between the blending quality of the real samples and the predicted quality of the response surface method model.


2018 ◽  
Vol 108 (11-12) ◽  
pp. 815-820
Author(s):  
E. Uhlmann ◽  
V. Kashevko

Das Laserstrahlschmelzen (SLM) als additives Fertigungsverfahren ist prädestiniert für die Herstellung von individuellen Bauteilen oder Werkzeugen mit hoher geometrischer Komplexität durch äußere und innenliegende Features in der Einzelstück- und Kleinserienfertigung. Allerdings ist die Oberflächengüte sowohl der Deck- als auch Seitenflächen von SLM-generierten Bauteilen nach dem Fertigungsprozess noch nicht zufriedenstellend, was für die Anwendung, etwa als Werkzeugeinsatz, von immenser Bedeutung ist. Daher ist die Verbesserung der Oberflächenbeschaffenheit von Kupferbauteilen der Schwerpunkt dieser Untersuchung.   Selective Laser Melting (SLM) as an additive manufacturing process is well suited for the production of individual components or tools with high internal and external geometric complexity for individual parts and small batches. However, the quality of top and side surfaces of SLM parts is still unsatisfactory after the process. Therefore, this study focuses on the improvement of the surface quality on copper alloy parts.


2010 ◽  
Vol 126-128 ◽  
pp. 208-213
Author(s):  
Jian Long Kuo ◽  
Chung Hao Hsieh

In TFT-LCD manufacturing process, the ACF is an essential material. To make the driving circuit conductive, the ACF attach process is used in bonding process. Since the total manufacturing cost becomes lower year by year, the ACF material occupies a great deal of manufacturing cost. The boding technology has been changed from the conventional long bar type into short bar type to save the material usage. The parameter setting of the short bar type machine was not initially optimized. The NG rate of short bar type ACF attach process is higher as compared to the long bar type. The rework cost and material cost may increase in the short bar type process. Therefore, the parameter optimization for the associated short bar type ACF attach process becomes an essential problem. The response surface method is adopted to model the problem. The yield rate is selected as objective function for study. In the analysis of response surface method, the plasma clean speed, ACF peeling speed and ACF cutter spring setting are selected three key factors for discussion. Results reveal that the yield rate can be improved up to 99.35%, which is very helpful to improve the manufacturing process.


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