Influence of Process Parameters on Surface Temperature during Laser Assisted Preheating of SKD 11 Steel based on Response Surface Methodology

2018 ◽  
Vol 5 (5) ◽  
pp. 13451-13458
Author(s):  
S. Xavierarockiaraj ◽  
P. Kuppan
Keyword(s):  
Response Surface Methodology ◽  
Surface Temperature ◽  
Response Surface ◽  
Process Parameters ◽  
Influence Of Process Parameters

scholarly journals Optimization of FDM 3D Printing Process Parameters on ABS based Bone Hammer using RSM Technique

2021 ◽  
Vol 1206 (1) ◽  
pp. 012001
Author(s):  
Umesh Kumar Vates ◽  
Nand Jee Kanu ◽  
Eva Gupta ◽  
Gyanendra Kumar Singh ◽  
Naveen Anand Daniel ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Layer Thickness ◽  
Process Parameters ◽  
Fused Deposition Modelling ◽  
Cross Sectional ◽  
Influence Of Process Parameters ◽  
Fused Deposition ◽  
Real Model ◽  
Nozzle Temperature

Abstract Rapid prototyping (RP) uses a cycle where a real model is made by explicitly adding material as thin cross-sectional layers. Fused deposition modelling (FDM) 3D printer is being use for synthesis of ABS based bone hammer. Response surface methodology (RSM) based L27 design of experiment were adopted to perform the experiment using four influencing parameters such as layer thickness, infill percentage, orientation and nozzle temperature for the three responses deflection, hardness and weight. Response surface methodology was used for modelling and optimization of considered process parameters. In present investigation, it is evident that bone hammer fabrication process parameters have been optimized on data such as bone hammer weight 19.8091g, hardness 104.5921 BHN, and force of 15 degree deflection 36.0681 N has been produced with RSM prediction with influence of process parameters such as layer thickness 0.250 mm, infill percentage 63.3333, orientation 60 degree, nozzle temperature 240°C.

The influence of process parameters on the properties of electrospun PLLA yarns studied by the response surface methodology

2014 ◽  
Vol 132 (5) ◽  
pp. n/a-n/a ◽  
Author(s):  
Homa Maleki ◽  
Ali Akbar Gharehaghaji ◽  
Giuseppe Criscenti ◽  
Lorenzo Moroni ◽  
Pieter J. Dijkstra
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Influence Of Process Parameters

scholarly journals Influence of Process Parameters on Rapid Prototype Part Using Response Surface Methodology

2019 ◽  
Vol 1 (1) ◽  
pp. 4-7
Author(s):  
Chockalingam Palanisamy ◽  
Natarajan Chinnasamy ◽  
Karthikeyan Muthu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Layer Thickness ◽  
Process Parameters ◽  
Rapid Prototype ◽  
Acrylonitrile Butadiene Styrene ◽  
Fused Deposition Modelling ◽  
Influence Of Process Parameters ◽  
Fused Deposition

In this research the influencing process parameters on fused deposition modelling of Acrylonitrile Butadiene Styrene (ABS) parts were studied. The two process parameters, layer thickness and model interior fill style are studied. The specimens were built, tests carried out to find out the surface roughness quality of the specimens. The results analyzed using Response Surface Methodology (RSM). The result indicates that the specimen Type 1 with the 0.254mm layer thickness and solid model interior fill style is the best specimen among the types of specimens tested.

scholarly journals Investigation of the influence of incremental sheet forming process parameters using response surface methodology

2021 ◽  
Vol 118 (4) ◽  
pp. 401
Author(s):  
Belouettar Karim ◽  
Ould Ouali Mohand ◽  
Zeroudi Nasereddine ◽  
Thibaud Sébastien
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Damage Evolution ◽  
Sheet Forming ◽  
Thickness Reduction ◽  
Forming Process ◽  
Influence Of Process Parameters ◽  
Forming Angle ◽  
Tool Diameter

New methods in metal forming are rapidly developing and several forming processes are used to optimize manufacturing components and to reduce cost production. Single Point Incremental Forming (SPIF) is a metal sheet forming process used for rapid prototyping applications and small batch production. This work is dedicated to the investigation of the profile geometry and thickness evolution of a truncated pyramid. The influence of process parameters during a SPIF process is also studied. A numerical response surface methodology with a Design of Experiments (DOE) is used to improve the thickness reduction and the effects of the springback. A set of 16 tests are performed by varying four parameters: tool diameter, forming angle, sheet thickness, and tool path. The Gurson-Tvergaard-Needleman (GTN) damage model is used to analyze the damage evolution during material deformation. It is found that the model can effectively predict the geometrical profile and thickness with an error of less than 4%. Furthermore, it is noticed that the forming angle is the most influential parameter on the thickness reduction and springback level. Finally, the damage evolution is demonstrated to be sensitive to the forming angle.

Influence of Process Parameters on Rapid Prototype Part Using Response Surface Methodology

2019 ◽  
Vol 1 (1) ◽  
pp. 4-7
Author(s):  
Chockalingam Palanisamy ◽  
◽  
Natarajan Chinnasamy ◽  
Karthikeyan Muthu ◽  
◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Rapid Prototype ◽  
Influence Of Process Parameters
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