scholarly journals Influence of process parameters on physical properties and specific mechanical energy of healthy mushroom-rice snacks and optimization of extrusion process parameters using response surface methodology

2018 ◽  
Vol 55 (9) ◽  
pp. 3462-3472 ◽  
Author(s):  
Hataichanok Kantrong ◽  
Chulaluck Charunuch ◽  
Nipat Limsangouan ◽  
Worapol Pengpinit
Keyword(s):  
Response Surface Methodology ◽  
Physical Properties ◽  
Response Surface ◽  
Process Parameters ◽  
Mechanical Energy ◽  
Extrusion Process ◽  
Influence Of Process Parameters ◽  
Specific Mechanical Energy

Influence of extrusion process parameters on specific mechanical energy and physical properties of high-moisture meat analog

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
The-Thiri Maung ◽  
Bon-Yeob Gu ◽  
Gi-Hyung Ryu
Keyword(s):  
Physical Properties ◽  
Process Parameters ◽  
Corn Starch ◽  
Mechanical Energy ◽  
Wheat Gluten ◽  
Extrusion Process ◽  
High Moisture ◽  
Screw Speed ◽  
Specific Mechanical Energy ◽  
Feed Moisture

AbstractTo investigate the effect of process parameters during high-moisture extrusion on system parameter (specific mechanical energy, SME) and product physical properties, blend of soy protein isolate, wheat gluten, and corn starch (50:40:10 w/w) was extruded using co-rotating twin screw extruder equipped with cooling die at 55 and 65% feed moisture, 150 and 170 °C barrel temperature, 150 and 200 rpm screw speed. The hardness and chewiness of products increased as all the extrusion process parameters became low. Among the tested range of process parameters in this study, a combination of high moisture (65%), high barrel temperature (170 °C), and low screw speed (150 rpm) generated the low SME input (less energy consumption) with high texturization degree of meat analogs. Layer and fibrous structure formation of the samples were influenced by variations in process parameters, primarily feed moisture and barrel temperature.

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.

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