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

Abstract

In order to obtain the optimal technological parameters of lettuce vacuum osmotic dehydration, the effects of osmotic temperature, slice thickness, sucrose concentration, and vacuum degree on the vacuum osmotic dehydration were explored. The lettuce water loss rate and solid gain rate decreased with the increase of slice thickness and vacuum degree, and increased with the increase of sucrose concentration and osmotic temperature. Response surface methodology was applied to analyze the influence of the four influential factors on the evaluated parameters and the optimization of lettuce vacuum osmotic dehydration was studied. The results indicated that, within the experimental scope, the optimized technological parameters of lettuce vacuum osmotic dehydration are the temperature of 28°C, the slice thickness of 2 mm, sucrose concentration of 47%, the vacuum degree of 22 kPa, and the water loss rate and solid gain rate are 72.16% and 11.82%, respectively.

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

Abstract

Friction stir processing (FSP) is solid state novel technique developed to refine microstructure and to improve the mechanical properties and be used to fabricate the aluminium alloy matrix composites. An attempt is made to fabricate AA6061/TiB2 aluminium alloy composite (AMCs) and the influence of process parameters like rotational speed, transverse feed, axial load and percentage reinforcement on microstructure and mechanical properties were studied. The microstructural observations are carried out and revealed that the reinforcement particles (TiB2) were uniformly dispersed in the nugget zone. The Tensile strength and Hardness of composites were evaluated. It was observed that tensile strength, and hardness were increased with increased the rotational speed and percentage reinforcement of particles. The process parameters were optimized using Taguchi analysis (Single Variable) and Grey analysis (Multi Variable). The most influential parameter was rotational speed in single variable method and multi variable optimization method. The ANOVA also done to know the percentage contribution of each parameter.

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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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Process Efficiency and Energy Consumption During the Extrusion of Potato and Multigrain Formulations

References Altan, A., McCarthy K.L., Maskan M. (2008). Extrusion cooking of barley flour and process parameter optimization by using response surface methodology. Journal of the Science of Food and Agriculture, 88 , 1648-1659. Bastos-Cardoso, I., Zazueta-Morales, J.J., Martinez-Bustos, E., Kil-Chang, Y. (2007). Development and characterization of extruded pellets of whole potato ( Solanum tuberosum L.) flour expanded by microwave heating. Cereal Chemistry, 84 (2), 137-144. Blicharz-Kania, A., Andrejko, D., Ślaska-Grzywna, B., Starek, A., Szejgiec

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Determination of Tungsten Inert Gas Welding Input Parameters to Attain Maximum Tensile Strength of 316L Austenitic Stainless Steel

. [6] M. Ragavendran, N. Chandrasekhar, R. Ravikumar, R. Saxena, M. Vasudevan, A. K. Bhaduri. Optimization of hybrid laser - TIG welding of 316LN steel using response surface methodology (RSM). Optics and Lasers in Engineering 2017 (94), 27 - 36. [7] P. Élesztős, R. Jančo, V. Voštiar. Optimization of welding process using a genetic algorithm. Journal of Mechanical Engineering - Strojnícky časopis 2018 (68), No 2, 17 - 24. [8] D. Santha Rao, N. Ramanaiah. Process parameters optimization for producing AA6061/TiB2 composites by friction

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Advanced Technologies for Determination of Surface Cleanliness

References [1] Krsulja, M.; Car, Z.; Radelja, H. Behaviour of X5 CrNiMo 17-12-2 Material During Deep Drawing Process. // Metalurgija, 51, 2(2012), pp. 203-206. [2] Car, Z.; Barišić, B.; Ikonić, M. GA Based CNC Turning Center Exploitation Process Parameters Optimization. // etalurgija, 48, 1(2009), pp. 47-50. [3] Brnic, J.; Canadija, M.; Turkalj, G.; et al. Tool Material Behavior at Elevated Temperatures. // Materials and Manufacturing Processes, 24, 7-8 (2009), pp. 758-762. [4] Kaftanoğlu, B

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An Estimating the Effect of Process Parameters on Metal Removal Rate and Surface Roughness in WEDM of Composite Al6063/SiC/Al2O3 by Taguchi Method

. Process Parameters Optimization for Producing AA6061/TiB2 Composites by Friction Stir Processing, Journal of Mechanical Engineering - Strojnícky časopis, 2017 (67), No. 1, 101 - 118 [7] R. Jančo, L. Écsi, P. Élesztős. FSW Numerical Simulation of Aluminium Plates by Sysweld - Part II, Journal of Mechanical Engineering - Strojnícky časopis, 2016 (66), No. 2, 29 - 36 [8] S. Lal, S. Kumar, Z.A. Khan, A.N. Siddiquee. Wire electrical discharge machining of AA7075/SiC/Al 2 O 3 hybrid composite fabricated by inert gas-assisted electromagnetic stir casting

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Study on Breaking Load of Single Lap Joint Using Hybrid Joining Techniques for Alloy Steel AISI 4140 and Mild Steel: Taguchi and Neural Network Approach

pressures, Journal of Mechanical Engineering - Strojnícky časopis, 2016 (66), No. 1, 27 - 36. [16] V. K. Patel, K. Rani. Mechanical and Wear Properties of Friction Stir Welded 0-6wt%nAl2O3 Reinforced Al-13wt% Si Composites. Journal of Mechanical Engineering - Strojnícky časopis 2017 (67), No. 1, 77 - 86. [17] D. Santha Rao, N. Ramanaiah. Process Parameters Optimization for Producing AA6061/TiB2 Composites by Friction Stir Processing. Journal of Mechanical Engineering - Strojnícky časopis 2017 (67), No. 1, 101 - 118. [18] R

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Effect of Minimum Quantity Lubrication on Surface Roughness and Temperature in Milling of EN31 Steel for Die Making

Surface Method“, Journal of Mechanical Engineering – Strojnícky časopis 63 (1), pp. 37 – 54, 2012 . [15] Ramanujam, R., Raju, R. “Process Parameter Optimization In Turning Of Al-Sic p Composites Using Taguchi Based Desirability Function Analysis“, Journal of Mechanical Engineering – Strojnícky časopis 62 (2), 81 – 92, 2011 . [16] Rajeswari, K., Lakshmi, P. “A Pso-Tuning of Fuzzy Logic Controller For Vehicle Suspension System“, Journal of Mechanical Engineering – Strojnícky Časopis 61 (4), pp. 215 – 232, 2010 . [17] Tsai, C. Y., Yeh, S. W. “A

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