Investigation of the effects of critical process parameters of friction stir welding of polyethylene

The present study deals with the application of sequential procedure (i.e. steepest ascent) to obtain the optimum values of process parameters for conducting friction stir welding (FSW) experiments. A vertical milling machine is modified by fabricating fixture and tool ( H13 material) for performing FSW operation to join AA7039 plates. The steepest ascent technique is employed to design the experiments at different rotational speed, welding speed, and tilt angle. The ultimate tensile strength is considered as a performance characteristic for deciding the optimal levels. The mechanical and metallurgical characteristics of the joints are studied by executing tensile and microhardness tests. It is concluded from the graphical analysis of the steepest ascent technique that the optimal maximum and minimum values are 1812–1325 r/min for rotational speed, 43–26 mm/min for welding speed, and 2°–1.3° for tilt angle, respectively. Besides, optical microscope and scanning electron microscope are utilized for microstructural and fractographic analyses for a better understanding of the process.

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Determining Critical Process Parameters and Process Robustness in Preparative Chromatography - A Model-Based Approach

Chemical Engineering & Technology ◽

10.1002/ceat.200900019 ◽

2009 ◽

Vol 32 (6) ◽

pp. 903-911 ◽

Cited By ~ 26

Author(s):

M. Degerman ◽

K. Westerberg ◽

B. Nilsson

Keyword(s):

Process Parameters ◽

Preparative Chromatography ◽

Process Robustness ◽

Model Based ◽

Critical Process Parameters ◽

Critical Process

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Prediction of Surface Profile in Friction Stir Welding Using Coupled Eulerian and Lagrangian Method

Volume 11: Heat Transfer and Thermal Engineering ◽

10.1115/imece2020-23193 ◽

2020 ◽

Author(s):

Debtanay Das ◽

Swarup Bag ◽

Sukhomay Pal ◽

M. Ruhul Amin

Keyword(s):

Friction Stir Welding ◽

Surface Morphology ◽

Process Parameters ◽

Chip Formation ◽

Material Flow ◽

Defect Formation ◽

Current Model ◽

Surface Profile ◽

Green Technology ◽

Friction Stir

Abstract Friction stir welding (FSW) is widely accepted by industry because of multiple advantages such as low-temperature process, green technology, and capable of producing good quality weld joints. Extensive research has been conducted to understand the physical process and material flow during FSW. The published works mainly discussed the effects of various process parameters on temperature distribution and microstructure formation. There are few works on the prediction of defect formation from a physics-based model. However, these models ignore chip formation or surface morphology and material loss during the FSW process. In the present work, a fully coupled 3D thermo-mechanical model is developed to predict the chip formation and surface morphology during welding. The effects of various process parameters on surface morphology are also studied using the current model. Coupled Eulerian-Lagrangian (CEL) technique is used to model the FSW process using a commercial software ABAQUS. The model is validated by comparing the results in published literature. The current model is capable of predicting the material flow out of the workpiece and thus enables the visualization of the chip formation. The developed model can extensively be used to predict the surface quality of the friction stir welded joints.

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Analysis of the influence of position of welding materials on the FSW seams properties for three dissimilar aluminium alloy

MATEC Web of Conferences ◽

10.1051/matecconf/201817803003 ◽

2018 ◽

Vol 178 ◽

pp. 03003 ◽

Cited By ~ 1

Author(s):

Ana Bosneag ◽

Marius Adrian Constantin ◽

Eduard Niţu ◽

Monica Iordache

Keyword(s):

Friction Stir Welding ◽

Aluminium Alloy ◽

Process Parameters ◽

Arc Welding ◽

Welding Process ◽

Dissimilar Materials ◽

Workpiece Material ◽

Friction Stir ◽

Welding Joints ◽

Welding Materials

Friction Stir Welding, abbreviated FSW is a new and innovative welding process. This welding process is increasingly required, more than traditional arc welding, in industrial environment such us: aeronautics, shipbuilding, aerospace, automotive, railways, general fabrication, nuclear, military, robotics and computers. FSW, more than traditional arc welding, have a lot of advantages, such us the following: it uses a non-consumable tool, realise the welding process without melting the workpiece material, can be realised in all positions (no weld pool), results of good mechanical properties, can use dissimilar materials and have a low environmental impact. This paper presents the results of experimental investigation of friction stir welding joints to three dissimilar aluminium alloy AA2024, AA6061 and AA7075. For experimenting the value of the input process parameters, the rotation speed and advancing speed were kept the same and the position of plates was variable. The exit date recorded in the time of process and after this, will be compared between them and the influence of position of plate will be identified on the welding seams properties and the best position of plates for this process parameters and materials.

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Application of Statistical Design to Assess the Critical Process Parameters of Ethanol Injection Method for the Preparation of Liposomes

Dhaka University Journal of Pharmaceutical Sciences ◽

10.3329/dujps.v18i1.41897 ◽

2019 ◽

Vol 18 (1) ◽

pp. 103-111 ◽

Cited By ~ 1

Author(s):

Sayani Bhattacharyya ◽

Bharani S Sogali

Keyword(s):

Particle Size ◽

Process Parameters ◽

Particle Size Analysis ◽

Polydispersity Index ◽

Size Analysis ◽

Ethanol Injection ◽

Injection Method ◽

Critical Process Parameters ◽

Critical Process ◽

Ethanol Injection Method

In the present study custom screening design was employed to observe the effect of four critical process parameters on particle size and polydispersity index of the liposomal formulation made by ethanol injection method. The four process parameters selected were lipid ratio, rate of injection, phase volume ratio and rotational speed of magnetic stirring. Eight different liposomal formulations were prepared using the design. The formulations were subjected to particle size analysis. The analysis was done at a significance level p<0.05 and found that the process parameters had significant effect on the particle size and polydispersity index of the formulations. The design was optimized for the individual responses with an overall desirability of more than 50%. Three batches of liposomes were formulated at optimized process parameters which matched the target as predicted by the design. Therefore, it can be concluded that the design was effective in production of nano sized stable monodisperse liposomes by ethanol injection method. Dhaka Univ. J. Pharm. Sci. 18(1): 103-111, 2019 (June)

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