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Optimization of Processing Parameters for Lettuce Vacuum Osmotic Dehydration Using Response Surface Methodology

REFERENCES 1. Abraao A.S., Lemos A.M., Vilela A., Sousa J.M., Nunes F.M., Influence of osmotic dehydration process parameters on the quality of candied pumpkins. Food Bioprod. Process., 2013, 91, 481–494. 2. Acosta O., Vıquez F., Cubero E., Optimisation of low calorie mixed fruit jelly by response surface methodology. Food Qual. Prefer., 2008, 19, 79–85. 3. Azam M., Haq M.A., Hasnain A., Osmotic dehydration of mango cubes: Effect of novel gluten-based coating. Drying Technol., 2013, 31, 120–127. 4. Bejaoui M.A., Beltran G., Aguilera M

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Effect of Laser Processing Parameters on Cut Quality after Engraving

Abstract

The article deals with the quality evaluation of engraved surfaces of selected materials after application of CO2 E4060 laser. A machined steel was chosen steel ČSN 11 373, engraving was carried out on aluminium alloy EN AW 7075, plexiglass XT, plywood and cardboard. Engraving was performed under predetermined power conditions and laser feed rates. Marking of metallic materials was made after applying the marking paste LMM 6000. The evaluation was made on the basis of a visual inspection and then a suitable combination of parameters was chosen for individual materials.

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Effects of processing parameters on the properties of amphiphilic block copolymer micelles prepared by supercritical carbon dioxide evaporation method

Abstract

The operation parameters for the supercritical carbon dioxide (ScCO2) evaporation method greatly affect the properties of the prepared drug-loaded micelles. In this study, the effects of those key parameters on the drug-loading content (LC) and drug entrapment efficiency (EE) are discussed. It is observed that EE and LC of the micelles are slightly increased with the enhancing temperature and the copolymer molecular ratio of hydrophilic/hydrophobic segment, while decreased with the enhancing ScCO2 evaporation rate. The pressure and volume ratio of ScCO2 to H2O are observed the optimum condition. In addition, the verification experiment is carried out under the obtained optimizing parameters. The prepared micelles exhibit relatively regular spherical shape and narrow size distribution with the EE and LC value of 70.7% and 14.1%, respectively.

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Process Parameters Optimization for Producing AA6061/TiB2 Composites by Friction Stir Processing

processing. Materials and Design, 2014 (63), 419 - 426. [4] S.K. Chaudhury, S.C. Panigrahi. Role of processing parameters on microstructural evolution of spray formed Al-2Mg alloy and Al-2Mg-TiO2 composite. Journal of Material Processing Technology, 2007 (182), 343 - 351. [5] F. Akhlaghi, A. Zare-Bidaki. Influence of graphite content on the dry sliding and oil impregnated sliding wear behaviour of Al 2024-graphite composites produced by in situ powder metallurgy method, Journal of Wear, 2009 (266), No. 1-2,2009, 37- 45. [6] A

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Open-End Yarn Properties Prediction Using HVI Fibre Properties and Process Parameters

, (2010). Processing Parameters Optimization of Multiple Quality Characteristics of Open-End Rotor Spinning Process for Bamboo Charcoal and CVC Blended Fibers. Fibers and Polymers, vol11, N°6, 891-898. [5] Lawrence C A & Finikopulos E, (1992). Factors Affecting changes in The Structure and Properties of Open-End Rotor Yarns. Indian Journal of Fiber & Textile Research, vol17 (4), 201-208. [6] Lord P R & Grady P L, (1976). The Twist Structure of Open-End yarns. Textile Research Journal, 46, 123-129. [7] Moghassem A, Fallahpour A & Shanbeh M, (2012). An

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Effects of Processing Parameters on the Mechanical Properties of Aramid Air Textured Yarns for Protective Clothing

Textile Institute, 105(5), 547-552. [20] Baldua, R. K., Kothari, V. K., & Rengasamy, R. S. (2014). Effect of feed filament fineness and process parameters on air-jet textured yarns properties. The Journal of The Textile Institute, 105(11), 1186-1192. [21] Chaithanya, R., Relationship between the processing parameters and tensile properties of air textured Kevlar yarns, M. S. Dissertation, NCSU, North Carolina, Raleigh, 2002. [22] Lanston, T. B., The Mechanical behavior of air textured aramid yarns in thermoset composites

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Dynamic Image Analysis to Determine Granule Size and Shape, for Selected High Shear Granulation Process Parameters

a high shear granulator”, Powder Technology 192, pp. 184 – 194, 2009 . DOI: 10.1016/j.powtec.2008.12.016 [4] Mangwandi, C., Adams, M. J., Hounslow, M. J., Salman, A.D. “Effect of impeller speed on mechanical and dissolution properties of high-shear granules”, Chemical Engineering Journal 164, pp.305 – 315, 2010 . DOI: 10.1016/j.cej.2010.05.039 [5] Rahmanian, N., Naji, A., Ghadiri, M. “Effects of process parameters on granules properties produced in a high shear granulator”, Chemical Engineering Research and Design 89, pp. 512 – 518, 2011 . DOI: 10

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Optimization of the Process Parameters of Resistance Spot Welding of AISI 316l Sheets Using Taguchi Method

the weld nugget and joint strength depends upon the selection of the welding process parameters. Normally, the welding process parameters are selected based on experience or from handbooks. However, it does not ensure that the selected welding process parameters can produce an optimal strength of the weld. 2 Literature Survey In order to increase the strength of products, many researchers have studied RSW process by experimental and numerical techniques. Eisazadeh et al . [ 2 ] developed an incremental finite element model for the parametric study of nugget

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Optimization of Process Parameters for FSW of Al-Mg-Mn-Sc-Zr Alloy Using CCD And RSM

friction stir processing zone in AA2219 aluminium alloy. Materials Science and Engineering A 2007 (459), 7 - 18. [10] V. Balasubramanian. Relationship between base metal properties and friction stir welding process parameters. Materials Science and Engineering A 2008 (480), 397 -403. [11] P. Murali Krishna, N. Ramanaiah, K. Prasada Roa. Optimization of process parameters for friction Stir welding of dissimilar Aluminum alloys (AA2024 -T6 and AA6351-T6) by using Taguchi method. International Journal of Industrial Engineering Computations

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Soft computing model for analysing the effect of friction stir processing parameters on the intergranular corrosion susceptibility of aluminium alloy AA5083

, “Process parameters effect on the strength of Friction Stir Spot Welded AA6061,” ARPN Journal of Engineering and Applied Sciences 2016 , 11 (9), 6030-6035. 12. V. V. Ramalingam, and P. Ramasamy, “Modelling Corrosion Behavior of Friction Stir Processed Aluminium Alloy 5083 Using Polynomial: Radial Basis Function,” Transactions of the Indian Institute of Metals 2017 , 70 (10), 2575-2589. 13. S. Ilangovan, R. V. Vignesh, R. Padmanaban, and J. Gokulachandran, “Comparison of Statistical and Soft Computing Models for Predicting Hardness and Wear Rate of Cu

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