Optimization of cold press and enzymatic‐assisted aqueous oil extraction from tomato seed by response surface methodology: Effect on quality characteristics

2021 ◽  
Author(s):  
Vasfiye Hazal Ozyurt ◽  
Büşra Çakaloğlu ◽  
Semih Otles
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Oil Extraction ◽  
Quality Characteristics ◽  
Tomato Seed ◽  
Cold Press ◽  
Aqueous Oil Extraction

Investigating the quality characteristics of Al5052/SiC metal matrix composites machined by CO2 laser curve cutting

2015 ◽  
Vol 232 (1) ◽  
pp. 3-19
Author(s):  
Vikas Sharma ◽  
Vinod Kumar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Metal Matrix ◽  
Desirability Function ◽  
Cutting Speed ◽  
Optical Microscope ◽  
Quality Characteristics ◽  
X Ray ◽  
Sic Particles ◽  
Quality Aspects

This article explores the quality characteristics of laser curve cutting of metal matrix aluminium 5052 alloy reinforced with SiC particles. These alloys are extensively used in aerospace industries due to their unique mechanical properties. The response surface methodology has been used to design the mathematical models with respect to input and output characteristics parameters. The desirability function approach has been used to optimize the input parameters like cutting speed, laser power, stand-off distance, nozzle diameter, nitrogen gas pressure, percentage of reinforced SiC particles, arc radius by considering multiple-performance characteristics. The various quality aspects of machined specimens were analysed using optical microscope, scanning electron microscopy, X-ray diffraction and energy-dispersive X-ray analysis techniques. The response surface methodology predicted models were validated by performing various confirmatory experiments. The percentage of error for the dross height, kerf taper and kerf width was found to be 4.62%, 6.55% and 5.04 % which signifies that predicted model is adequate.

Application of Grey Taguchi based Response Surface Methodology (GT-RSM) in Injection Moulding of Polypropylene/E-glass Composite

2015 ◽  
Vol 5 (1) ◽  
pp. 35-48 ◽  
Author(s):  
M. Santhanakumar ◽  
R. Adalarasan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Injection Moulding ◽  
Statistical Significance ◽  
Rheological Behaviour ◽  
Quality Characteristics ◽  
Melt Temperature ◽  
Glass Composites ◽  
Packing Pressure ◽  
Grey Taguchi

Strong non-linearity combined with the complicated rheological behaviour of polymers makes the quality characteristics of products unpredictable in plastic injection moulding. The purpose of this work is to study the mechanical properties of injection moulded polypropylene/E-glass composites. The process parameters like the melt temperature, injection pressure, packing pressure and cooling time were found to influence the quality characteristics of the produced parts. These four parameters were varied at three levels and a L18 orthogonal array was used for designing and conducting the experiments. Tensile and impact strength (Charpy-notched) were observed as the responses and a new integrated technique of grey Taguchi based response surface methodology (GT-RSM) was disclosed to predict the optimal operating condition. A confirmation test was conducted to demonstrate the accuracy of GT-RSM approach. Injection and packing pressure were found to have statistical significance in influencing the strength of injection moulded polypropylene/E-glass composites.

RESPONSE SURFACE METHODOLOGY FOR STUDYING THE QUALITY CHARACTERISTICS OF COWPEA (VIGNA UNGUICULATA)-BASED TEMPEH

2009 ◽  
Author(s):  
GEORGE AMPONSAH ANNOR ◽  
ESTHER SAKYI-DAWSON ◽  
FIRIBU K. SAALIA ◽  
SAMUEL SEFA-DEDEH ◽  
EMMANUEL OHENE AFOAKWA ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Vigna Unguiculata ◽  
Quality Characteristics
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