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In many engineering and industrial processes, the entropy production destroys the available energy in the system.
The second law of thermodynamics is more reliable than the first law of thermodynamics because of the limitation of the efficiency of the first law in heat transfer engineering systems [14].
Entropy generation minimization is applied in various thermal engineering systems such as air separators, reactors, chillers, fuel cells, thermal solar, chemical and electrochemical.
The key findings of the article are concluded at the end of the manuscript.
The Prandtl number is chosen the values ranging from which are the most encountered fluids used in plasma physics, engineering and industries.

Theoretical Study on CO2/SO2 Absorption Using N-Alkylethylenediaminium Protic Ionic Liquid Hui Huang1,a, Er Hua1,2,3,b* 1Chemical Science and Engineering College, China 2Key Laboratory of Chemical Engineering and Technology, State Ethnic Affairs Commission, including country 3Ningxia Key Laboratory of Solar Chemical Conversion Technology, North Minzu University, 204 Wenchang North Street, Xixia District, Yinchuan, Ningxia, 750021, China.
Supplementary Material See Supporting Information for the complete original vibrational frequency, charge distribution, second-order perturbation stabilization energy, and electron density data.

Robustness based structural design: an integrated approach for multi-hazard risk mitigation Dubina Dan1,a and Dinu Florea2, b 1The ”Politehnica” University of Timisoara, Faculty of Civil Engineering, Timisoara, Romania 2The ”Politehnica” University of Timisoara, Faculty of Civil Engineering, Timisoara, Romania adan.dubina@ct.upt.ro, bflorea.dinu@ct.upt.ro Keywords: extreme loading, risk, robustness, column loss, ductility, steel structures.
However, this should not be assumed apriori, as there are also differences between these hazards and their effects on structures, for instance, the rotation demand of connections associated with the loss of key structural elements.
However, for progressive collapse analysis of the main structural system, the behavior of the material can be considered rate independent.

Modeling and Optimization a Production/Maintenance Integrated Planning Ghita Ettaye1, a *, Abdellah El Barkany1,b and Ahmed El Khalfi1,c 1 Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Production Plan In the literature, as a first solution of production planning we found the MRP I (Material Requirement Planning) that started between 60 and 70 years ago [3] but this model did not consider the constraint of resources capacity.
Indeed, communication and collaboration between the maintenance actions and the production operations are the main keys to success organizing and planning a production system.
Chatelet, Integrating production, inventory and maintenance planning for a parallel system with dependent components, Reliability Engineering and System Safety. 101 (2012) 59-66

Introduction Current manufacturing environment can be characterized in terms of many factors but the key one for companies confronting the challenge of remaining competitive in an era of globalization is undoubtedly the capability of fast and accurate decision making, especially so in the mass customized production/services domain.
Riope, Integrated Production and Material Handling Scheduling Using Mathematical Programming and Constraint Programming, European Journal of Operational Research, 175, 3 (2006) 1818-1832
Puigjaner, Planning, scheduling and budgeting value-added chains, Computers and Chemical Engineering, 28 (2004) 45-61
Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014), Lecture Notes in Production Engineering, (2014) 461–472

Horsfall3,e 1,2,3Electrical/Electronic Engineering Department, University of Port Harcourt 4Mechatronics Department, Federal University of Technology Owerri ankolika.nwazor@uniport.edu.ng, berowelejustice@gmail.com, cremigius.okeke@uniport.edu.ng, dEkene.Mbonu@futo.edu.ng eotelemate.horsfall@uniport.edu.ng Keywords: wireless Body Area Network (WBAN), Energy Harvesting, TDMA, Duty Cycling, Energy Harvesting, Thermoelectric harvesting, IoT-enabled sink node Abstract.
Upscaling the Quality of Service (QoS) and improving the network performance in a dynamic and resource-constrained network like the WBAN is key to sustaining the operability of the network.
Additionally, the implementation incorporates the use of Selenium, a material with a Seebeck coefficient (S) of 900μV/°C.
In International Journal of Scientific & Engineering Research (Vol. 9, Issue 3, pp. 61–62). http://www.ijser.org

In Industrial Engineering and Systems Management (IESM), International Conference, 481– 488 (2015)
Computers & Industrial Engineering 97(2016)26–40
International Journal of Management Science and Engineering Management,8(3) (2013) 173–178
Computers & Industrial Engineering, 98(2016) 360–372
Computers & Industrial Engineering, 80(2015)236–244

Composite Slabs with Prepressed Embossments – Longitudinal Shear Resistance HOLOMEK Josef1, a *, BAJER Miroslav1,b , BARNAT Jan1,c and VILD Martin1,d 1Brno University of Technology, Faculty of Civil Engineering, Institute of Metal and Timber Structures, Veveri 331/95, 602 00 Brno, Czech Republic aholomek.j@fce.vutbr.cz, bbajer.m@fce.vutbr.cz, cbarnat.j@fce.vutbr.cz, dvild.m@fce.vutbr.cz Keywords: composite slab, steel sheeting, concrete, prepressed embossment, longitudinal shear, experiment, numerical model Abstract.
Stiffness of the interface material has to be high enough to limit mutual penetration of the volumes and low enough to preserve convergence of the model.
It is linearly dependent on elastic modulus of the material and oppositely dependent on element size [5].
CZ.1.05/2.1.00/03.0097, as an activity of the regional Centre AdMaS "Advanced Materials, Structures and Technologies," project FAST-J-14-2357 and project FAST-S-13-2077.

Materials Sci.
Bremond: Material Science and Engineering B Vol. 69 (2000), p. 367 [13] A.
Materials Sci.
Winogradov: Nonorganic Materials Vol.
Winogradov: Nonorganic Materials Vol.

Hassan1,b,*, Nabeel Abed2,3,c, Adel Khalil1,d, Nadjem Bailek4,5,e,* 1Mechanical Power Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt. 2Department of Mechanical, Aerospace and Civil Engineering, School of Engineering, University of Manchester, UK. 3Mechanical Technical Department, Technical Institute of Anbar, Middle Technical University, Anbar, Iraq. 4Sustainable Development and Computer Science Laboratory, Faculty of Sciences and Technology, Ahmed Draia University of Adrar, Adrar, Algeria. 5Faculty of Engineering and Architectures, Nisantasi University, Istanbul, Turkey.
Materials and Methods 2.1.
Reflector Receiver Parameter Value Parameter Value Aperture width, w 5 m Absorber tube’s inner diameter, DAbsin 0.066 m Collector length 7.8 m Absorber tube’s outer diameter, DAbsout 0.07 m Reflectivity 0.93 Glass cover’s inner diameter, Dgin 0.115 m Rim angle, φ 70o Glass cover’s outer diameter, Dgout 0.120 m Geometric concentration ratio 71 Glass transmissivity 0.95 Focal length, fL 1.84 m Absorber tube absorptivity 0.96 Absorber tube material Steel 2.1.2.
Experimental correlations for its key thermal properties are reported in [14] under different operational temperatures.
Forristall, Heat Transfer Analysis and Modeling of a Parabolic Trough Solar Receiver Implemented in Engineering Equation Solver, Golden, Colorado, 2003. https://doi.org/NREL/TP-550-34169