Relevant bibliographies by topics / Refrigeration industry Mathematical models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Refrigeration industry Mathematical models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Refrigeration industry Mathematical models"

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Tai, Yanni, Haibin Qu, and Xingchu Gong. "Design Space Calculation and Continuous Improvement Considering a Noise Parameter: A Case Study of Ethanol Precipitation Process Optimization for Carthami Flos Extract." Separations 8, no. 6 (May 24, 2021): 74. http://dx.doi.org/10.3390/separations8060074.

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The optimization of process parameters in the pharmaceutical industry is often carried out according to the Quality by Design (QbD) concept. QbD also emphasizes that continuous improvement should be performed in life cycle management. Process parameters that are difficult to control in actual production can be regarded as noise parameters. In this study, based on the QbD concept, the ethanol precipitation process of Carthami Flos extract was optimized, considering a noise parameter. The density of the concentrated extract, ethanol concentration, the volume ratio of ethanol to concentrated extract, stirring time after ethanol addition, and refrigeration temperature were selected as critical process parameters (CPPs), using a definitive screening design. The mathematical models among CPPs and evaluation indicators were established. Considering that the refrigeration temperature of industrial ethanol precipitation is often difficult to control with seasonal changes, refrigeration temperature was treated as a noise parameter. A calculation method for the design space in the presence of the noise parameter was proposed. The design space was calculated according to the probability of reaching the standards of evaluation indicators. Controlling parameters within the design space was expected to reduce the influence of noise parameter fluctuations on the quality of the ethanol precipitation supernatant. With more data obtained, the design space was updated. In industry, it is also recommended to adopt a similar idea: that is, continuing to collect industrial data and regularly updating mathematical models, which can further update the design space and make it more stable and reliable.
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Gabibov, Ibrahim Abulfaz, Rabiya Seydulla Nadjafkulieva, and Sevinj Malik Abasova. "MODELING THE HEAT TRANSFER PROCESS IN REFRIGERATION UNITS USED IN THE OIL INDUSTRY." EUREKA: Physics and Engineering 6 (November 30, 2019): 57–62. http://dx.doi.org/10.21303/2461-4262.2019.001056.

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Currently, the main volume of associated petroleum gas production in Azerbaijan is carried out at offshore fields. About 30 % of this volume is used for SOCAR’s own technological needs of the oil company (to maintain the level of oil production). And the rest are transported to onshore facilities and further for processing to a gas processing plant. Subsequently, dry and purified gas is sent through a gas pipeline system for use by the population, or to a network of trunk pipelines for further export. When gas is transferred to the gas lift system and ashore, it is compressed in compressors, as a result of which the temperature of the working agent rises. The latter dramatically reduces the level of operational safety of the entire process. Based on the foregoing, ensuring the required gas quality at the outlet of the compressor unit is an important and urgent task. Currently used in the gas cooling system, shell-and-tube type refrigeration units have several advantages: high heat transfer coefficient, operability in low and high pressure modes, simplicity of design and service. Along with this, these units are distinguished by large dimensions and high metal consumption, noise effect, vibration, etc. A new design of a heat exchanger for cooling associated petroleum gas at the outlet of gas motor compressors is proposed. Based on the modeling of the heat transfer process, mathematical models have been obtained that make it possible to adequately evaluate the cooling process in the proposed refrigeration device.
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Ke, Hanbing, Yuansheng Lin, Zhiwu Ke, Qi Xiao, Zhiguo Wei, Kai Chen, and Huijin Xu. "Analysis Exploring the Uniformity of Flow Distribution in Multi-Channels for the Application of Printed Circuit Heat Exchangers." Symmetry 12, no. 2 (February 22, 2020): 314. http://dx.doi.org/10.3390/sym12020314.

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The maldistribution of fluid flow through multi-channels is a critical issue encountered in many areas, such as multi-channel heat exchangers, electronic device cooling, refrigeration and cryogenic devices, air separation and the petrochemical industry. In this paper, the uniformity of flow distribution in a printed circuit heat exchanger (PCHE) is investigated. The flow distribution and resistance characteristics of a PCHE plate are studied with numerical models under different flow distribution cases. The results show that the sudden change in the angle of the fluid at the inlet of the channel can be greatly reduced by using a spreader plate with an equal inner and outer radius. The flow separation of the fluid at the inlet of the channel can also be weakened and the imbalance of flow distribution in the channel can be reduced. Therefore, the flow uniformity can be improved and the pressure loss between the inlet and outlet of PCHEs can be reduced. The flow maldistribution in each PCHE channel can be reduced to ± 0.2%, and the average flow maldistribution in all PCHE channels can be reduced to less than 5% when the number of manifolds reaches nine. The numerical simulation of fluid flow distribution can provide guidance for the subsequent research and the design and development of multi-channel heat exchangers. In summary, the symmetry of the fluid flow in multi-channels for PCHE was analyzed in this work. This work presents the frequently encountered problem of maldistribution of fluid flow in engineering, and the performance promotion leads to symmetrical aspects in both the structure and the physical process.
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Baglivo, Cristina, Paolo Maria Congedo, and Pasquale Antonio Donno. "Analysis of Thermodynamic Cycles of Heat Pumps and Magnetic Refrigerators Using Mathematical Models." Energies 14, no. 4 (February 9, 2021): 909. http://dx.doi.org/10.3390/en14040909.

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This paper proposes a critical review of the different aspects concerning magnetic refrigeration systems, and performs a detailed analysis of thermodynamic cycles, using mathematical models found in the literature. Langevin’s statistical mechanical theory faithfully describes the physical operation of a refrigeration machine working according to a magnetic Ericsson cycle. Results of mathematical and real experimental models are compared to deduce which best describes the Ericsson cycle. The theoretical data are not perfectly consistent with the experimental data; there is a maximum deviation of about 30%. Numerical and experimental data confirm that very high Coefficient of Performance (COP) values of more than 20 can be achieved. The analysis of the Brayton cycle consisted of finding the mathematical model that considers the irreversibility of these machines. Starting from the thermodynamic properties of magnetocaloric materials based on statistical mechanics, the efficiency of an irreversible Brayton regenerative magnetic refrigeration cycle is studied. Considering the irreversibility in adiabatic transformations, the lower limit of the optimal ratio of two magnetic fields is determined, obtaining a valid optimization criterion for these machines operating according to a Brayton cycle. The results show that the Ericsson cycle achieves a higher Coefficient of Performance than the Brayton cycle, which has a higher cooling capacity as it operates with a larger temperature difference between the magnetocaloric material and source.
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Mani, Kolandavel, Vellappan Selladurai, and Natarajan Murugan. "Experimental investigations with eco-friendly refrigerants using design of experiments technique-mathematical modeling and experimental validation." Thermal Science 18, suppl.2 (2014): 363–74. http://dx.doi.org/10.2298/tsci110805114m.

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In this paper mathematical models were developed using design of experiments technique for the performance prediction of refrigeration system parameters such as refrigerating capacity, power consumption and coefficient of performance. The models developed were checked for their adequacy using F-test. The performances of vapour compression refrigeration system with different refrigerants R12, R134a and R290/R600a were compared. The R290/R600a mixture showed 10.7-23.6% higher coefficient of performance than that with R12 and R134a and it was found that the hydrocarbon mixture with 68% propane and 32% iso-butane could be used as a substitute for R12 and R134a.
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Gonçalves, R. S. R., B. Jacob-Furlan, E. C. Kollross, J. C. Berndsen, L. S. Martins, A. B. Mariano, and J. C. Ordonez. "A MATHEMATICAL MODEL OF AN ABSORPTION REFRIGERATION SYSTEM FOR A REFRIGERATED STORAGE FOR FISHING BOATS." Revista de Engenharia Térmica 21, no. 1 (July 8, 2022): 25. http://dx.doi.org/10.5380/reterm.v21i1.86688.

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The objective of this paper is to determine if it is possible to refrigerate an area by means of a heat source. Theory determines that an absorption refrigerator can work as a possible solution through a refrigeration fluid. According to it, the system works by the evaporation or condensation of the working fluid. The traditional process consists of using engine fuel to run an electric compressor and by its means achieve refrigeration. That process has its toll on fuel economy and engine efficiency and the refrigeration fluid damages the ozone layer or is based on the transportation of ice previously bought on shore. The technological improvement will be equipped on fishing boats, in order to make the trip last longer due to the possibility of not needing to buy and transport ice and for the purpose of lowering the fishing industry cost. Absorption refrigeration can augment engine efficiency by using heat energy that is normally wasted and the system could reach temperatures of freezing water, meaning that it could be possible to follow Brazilian and international standards. The methodology of this work consists of an energy analysis of an absorption refrigerator, which is the determination of the heat transfer equations on the ammonia evaporator, condenser and exhaust/ammonia. Furthermore, it should be analyzed if it’s possible to determine to which working parameters the system will have an optimum operation. From the mathematical analysis, the system shows that with the equations it is possible to operate an absorption refrigeration based on the exhaust gases of fishing boats. Furthermore, the process can be operated on a wide range of temperatures, being possible to determine according to a few dimensionless parameters to which temperature levels the process of refrigeration shows the best removal of heat.
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Minaev, V. A., V. M. Pizengolts, A. O. Faddeev, A. Y. Bystryakov, E. V. Savenkova, and E. V. Kruglikova. "Modern information and mathematical models in construction industry." E3S Web of Conferences 116 (2019): 00051. http://dx.doi.org/10.1051/e3sconf/201911600051.

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Building information modelling (BIM) – new technology of construction object information maintenance. It allows specifying influence of changes and risks made in it (including geodynamic) at all stages of lifecycle. Objects include products, building equipment, technological platform, the building, engineering, transportation networks and systems of building communication. The model expands possibilities of innovative technologies implementation, allowing creating reasoned economic decisions.
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Liu, Shi Qiang, and Erhan Kozan. "Integration of mathematical models for ore mining industry." International Journal of Systems Science: Operations & Logistics 6, no. 1 (July 5, 2017): 55–68. http://dx.doi.org/10.1080/23302674.2017.1344330.

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Kumar, Naresh, and Balraj Singh. "Forecast of Indian Automobile Industry Using Mathematical Models." Paradigm 7, no. 2 (July 2003): 105–16. http://dx.doi.org/10.1177/0971890720030207.

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Izquierdo, J., R. Pérez, and P. L. Iglesias. "Mathematical models and methods in the water industry." Mathematical and Computer Modelling 39, no. 11-12 (June 2004): 1353–74. http://dx.doi.org/10.1016/j.mcm.2004.06.012.

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Dissertations / Theses on the topic "Refrigeration industry Mathematical models"

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Powell, Robert. "Industry value at risk in Australia." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2007. https://ro.ecu.edu.au/theses/297.

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Value at Risk (VaR) models have gained increasing momentum in recent years. Market VaR is an important issue for banks since its adoption as a primary risk metric in the Basel Accords and the requirement that it is calculated on a daily basis. Credit risk modelling has become increasingly important to banks since the advent of Basel 11 which allows banks with sophisticated modelling techniques to use internal models for the purpose of calculating capital requirements. A high level of credit risk is often the key reason behind banks failing or experiencing severe difficulty. Conditional Value at Risk (CVaR) measures extreme risk, and is gaining popularity with the recognition that high losses are often impacted by a small number of extreme events.
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Vekstein, Daniel. "Dynamics of organizational growth in the international automobile industry." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186248.

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The phenomenon of organizational growth has traditionally been assumed to be indeterminate largely due to chance or accidents found in organizational worlds. This research takes up the causal processes underlying the growth (and decline) of virtually all world-class manufacturers in the international automobile industry from 1946 to 1989. Two models are developed as alternative explanations for the long-term trends observed in growth rates and their differences across firms. The models are estimated with a nonlinear method and tested through various empirical implications. The model that seems most consistent with the data shows unambiguously that they were not generated by a random or chance process but by underlying processes of collective learning, innovation, and outnovation in technologies and organizational routines. Firms that had generated different rates in these processes differed as hypothesized in their long-term growth performance. The dynamics of collective learning processes, as measured by the parameters of the model, largely explain the dynamics of organizational growth in the world automobile industry, hence, the dynamics of interorganizational competition. The results from tests of ecological hypotheses suggest that organizational ecology might benefit from the application of matrices of collective learning rates generated from interorganizational learning curves, particularly where ecology seeks to explain patterns of competition by organizational size. As shown, this research strategy is general and gauges directly interactions among organizations over long periods. It is also flexible in dealing with various levels of analysis in longitudinal and cross-sectional dimensions. As also shown, the collective learning theory, its model, and the ecology of interorganizational learning curves derived from them can help in evaluating empirically the competitive potential of firms by indicators of innovation and outnovation relative to other firms, patterns of competition (gauged by relative learning rates) among firms, and any changes of those patterns over time. Thus, the research strategy used here provides potentially useful causal analyses as well as meaningful measures on which different organizations can be compared, with each other and with themselves. These measures may also provide important benchmarks and diagnostics for strategic management.
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Gestrelius, Sara. "Mathematical models for optimising decision support systems in the railway industry." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27758.

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After the deregulation of the Swedish railway industry, train operating companies compete for and on the same infrastructure. This makes the allocation of rail capacity a most delicate problem, and for a well-functioning railway system the allocation must be fair, efficient and functional. The capacity allocation tasks include e.g. constructing the yearly timetable and making track allocation plans for rail yards. The state of practice is that experienced planners construct the schedules manually with little or no decision support. However, as the planners are often faced with large combinatorial problems that are notoriously hard to solve there is a great potential in implementing optimising decision support systems. The research presented in this licentiate thesis aims at developing and examining mathematical models and methods that could be part of such support systems. The thesis focuses on two planning problems in particular, and the presented methods have been developed especially for the Swedish railway system. First of all, a model for optimising a train timetable with respect to robustness is presented. The model tries to increase the number of alternative meeting locations that can be used in a disturbed traffic situation and has an execution time of less than 5 minutes when solving the problem for the track section between Boden and Vännäs.                                                                                                                Secondly, the problem of generating efficient classification bowl schedules for shunting yards is examined. The aim is to find the track allocation that minimises the number of required shunting movements while still respecting all operational, physical and time constraints imposed by the yard.  Three optimisation models are presented, and simple planning rules are also investigated. The methods are tested on historic data from Hallsberg, the largest shunting yard in Sweden, and the results show that while the simple planning rules are not adequate for planning the classification bowl, two of the optimisation models consistently return an optimal solution within an acceptable execution time.
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Soares, Darrow P. "Curriculum in mathematics for air conditioning and refrigeration." CSUSB ScholarWorks, 1996. https://scholarworks.lib.csusb.edu/etd-project/1239.

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Booth, Darcie Lee. "A strategic capacity planning tool for a firm in the newsprint industry." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/30599.

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A strategic planning tool has been developed to help a firm in the North American newsprint industry decide whether to expand its capacity. This tool can also be used as an industry model, to forecast capacity decisions under various conditions. Key features of the model are the explicit consideration of the interdependence between firms and the recognition of the lumpiness of capacity expansion. Individual firms and groups of firms are modelled. All firms are assumed to determine their best capacity option taking into consideration the capacity decisions of other firms. The model uses an open loop Nash equilibrium concept to solve the capacity expansion problem. Firms also simultaneously determine their profit-maximizing production in each year, given their capacities. Demand functions for each year are specified, and demand scenarios may be subject to uncertainty. The model was applied to the newsprint industry for the 1979 to 1983 time period. The top five firms in the industry were modelled as individual firms. The next eight firms were modelled as two groups of four identical firms. The behaviour of the fringe (i.e., the remaining 20% of total industry capacity) was forecast exogenously. Historical firm and industry capacities, production levels and prices were compared to model simulations under three different assumptions for firm objectives: profit maximization, market share maximization subject to a profitability constraint, and maximization of expected utility assuming exponential utility functions for all firms (with different assumptions about attitudes of firms towards risk). The constrained market share maximization hypothesis best explained observed behaviour. Multiple equilibria were often computed and methods for addressing this problem were discussed.
Business, Sauder School of
Graduate
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Ranasinghe, Kulatilaka Arthanayake Malik Kumar. "Quantification of risks during feasibility analysis for capital projects." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/26730.

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The purpose of this thesis is to propose a consistent theory and a model based on it to estimate the uncertainty of project duration, cost, revenue, and net present value probabilistically. The model can be used to assist decision making on such strategic, feasibility analysis issues as contingency provision, reliability of an estimate for the "go-no go" decision, adopting phased or fast-track construction, etc. Project cost and revenue are evaluated in terms of current and discounted dollars, thereby emphasising the economic effect of time and inflation on net present value which is considered as the decision criterion. The model is derived mathematically by treating all the issues which effect the estimation of project cost, duration and revenue through the mechanism of linked work packages. Issues found to be significant in the evaluation of work package duration are: the scope of work, the productivity, and the labour usage. For work package cost they are: the duration and the starting time, unit rates for labour, equipment, and materials, labour and equipment usage, sub-contractor and indirect cost, inflation and interest rates. For revenue the issues are: the gross revenue, operating & maintenance cost, inflation rates, duration, and the starting time. Moments of work package cost, duration and revenue streams are first evaluated using subjective estimates of percentiles for the independent variables, deriving moment information from these estimates, and then processing this information using the expectation operator on the Taylor series expansion of the performance measure about the mean. These moments along with the Pearson family of distributions are used to quantify the uncertainty of project duration, cost, revenue, and net present value. The decision maker is provided with probabilistic estimates, of duration, cost and revenue at both the work package/revenue stream and project levels and of the net present value. A computer program is developed to implement the proposed theory and to organise and simplify the calculation process.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate
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Summers, Deborah A. "Use of optimization models to solve labor planning and scheduling problems for the service industry." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/24107.

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Amidon, Bruce Douglas. "An economic analysis of counterfeit threaded fasteners in the construction industry." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA231492.

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Thesis (M.S. in Management)--Naval Postgraduate School, June 1990.
Thesis Advisor(s): Carrick, Paul M. Second Reader: Gates, William R. "June 1990." Description based on signature page on October 16, 2009. DTIC Descriptor(s): Mathematical models, industries, problem solving, screw threads, engineering, fastenings, game theory, force(mechanics), economic analysis, construction DTIC Indicator(s): Threaded fasteners, fasteners, game theory, theses Author(s) subject terms: Threaded fasteners; substandard fasteners; game theory Includes bibliographical references (p. 50-51). Also available online.
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Malone, Brett. "Multidisciplinary optimization in aircraft design using analysis technology models." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10102009-020042/.

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Bailey, Robert Reid. "Input-output modeling of material flows in industry." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/19104.

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Books on the topic "Refrigeration industry Mathematical models"

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A, Ciriani Tito, ed. Operational research in industry. Houndmills, Basingstoke, Hampshire: Macmillan Press, 1999.

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Ellis, Cumberbatch, and Fitt Alistair 1957-, eds. Mathematical modeling: Case studies from industry. Cambridge, U.K: Cambridge University Press, 2001.

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Schnotale, Jacek. Modelowanie własności i składu mieszanin wieloskładnikowych ekologicznych do obiegów lewobieżnych. Kraków: Politechnika Krakowska, 2001.

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Mathematical modeling for industry and engineering. Upper Saddle River, N.J: Prentice Hall, 1998.

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Myles, Gareth D. Industry-specific income taxes. Coventry: University of Warwick, Dept. of Economics, 1989.

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Myles, Gareth D. Industry-specific income taxes. Coventry: University of Warwick Department of Economics, 1989.

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Alfaro, Laura. Intra-industry foreign direct investment. London: Centre for Economic Performance, London School of Economics and Political Science, 2007.

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Alfaro, Laura. Intra-industry foreign direct investment. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Upton, Hatch, and Kinnucan Henry W, eds. Aquaculture: Models and economics. Boulder: Westview Press, 1993.

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Prendergast, Canice. Non-monetary exchange within firms and industry. Cambridge, MA: National Bureau of Economic Research, 1996.

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Book chapters on the topic "Refrigeration industry Mathematical models"

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Zlatev, Zahari, István Faragó, and Ágnes Havasi. "Mathematical Treatment of Environmental Models." In Mathematics in Industry, 65–70. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05365-3_10.

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Taniguchi, Setsuo. "Stochastic Analytical Models in Mathematical Finance." In Mathematics for Industry, 263–77. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55060-0_20.

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Capasso, Vincenzo, Martin Burger, Alessandra Micheletti, and Claudia Salani. "Mathematical Models for Polymer Crystallization Processes." In Mathematics in Industry, 167–242. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55771-2_5.

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Camiola, Vito Dario, Giovanni Mascali, and Vittorio Romano. "Mathematical Models for the Double-Gate MOSFET." In Mathematics in Industry, 191–210. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35993-5_7.

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Fasano, A., M. Primicerio, and G. Baldini. "Mathematical Models for Espresso Coffee Preparation." In European Consortium for Mathematics in Industry, 137–40. Wiesbaden: Vieweg+Teubner Verlag, 1992. http://dx.doi.org/10.1007/978-3-663-09834-8_24.

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Kobayashi, Hajime. "Mathematical Models in First-Principles Calculations for Materials Science." In Mathematics for Industry, 467–80. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55060-0_34.

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Fasano, Antonio. "Mathematical Models for Polymerization Processes of Ziegler-Natta Type." In Mathematics in Industry, 3–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55771-2_1.

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Halvorsen, Svenn Anton, Mads Fromreide, Manuel Sparta, and Vetle Kjær Risinggård. "Mathematical Models for Electromagnetic Conditions in Submerged Arc Furnaces." In Mathematics in Industry, 389–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11818-0_51.

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Wacker, Hj, T. Kronberger, A. Ortner, and L. Peer. "Mathematical Models in Chemical Engineering." In Proceedings of the Fifth European Conference on Mathematics in Industry, 65–74. Wiesbaden: Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-663-01312-9_7.

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Götz, T. "Minisymposium: “Mathematical Models for the Textile Industry”." In Progress in Industrial Mathematics at ECMI 2006, 683–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71992-2_114.

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Conference papers on the topic "Refrigeration industry Mathematical models"

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Furukawa, Yoshimi. "Practical Vehicle Mathematical Models Effective for Evaluating Handling Quality Corresponding to Various Driving Conditions." In SAE Government Industry Meeting and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1985. http://dx.doi.org/10.4271/851238.

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Borovska, Taisa M., Inna V. Vernigora, Waldemar Wójcik, Konrad Gromaszek, Saule Smailova, and Zhassulan Orazbekov. "Mathematical models of production systems development based on optimal aggregation methodology." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, edited by Ryszard S. Romaniuk and Maciej Linczuk. SPIE, 2017. http://dx.doi.org/10.1117/12.2281222.

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Chernyakov, Mikhail K., Maria M. Chernyakova, Irina A. Chernyakova, and Saidmukhtor S. Mokhtarzada. "Mathematical Models for Evaluating the Effectiveness of State Support for the Dairy Industry." In International Conference on Economics, Management and Technologies 2020 (ICEMT 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200509.002.

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Zheng, Xin. "Mathematical Models on Water Scarcity Prediction, Influencing Factors Analysis and Water Transfer." In 2016 2nd Workshop on Advanced Research and Technology in Industry Applications (WARTIA-16). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/wartia-16.2016.222.

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Klimek, Jacek, Roman Obertyukh, Andrii Slabkyi, Mykhailo Marushchak, Leonid Koval, and Doszhon Baitussupov. "Dynamic and mathematical models of the hydraulic-pulse device for deformation strengthening of materials." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, edited by Ryszard S. Romaniuk and Maciej Linczuk. SPIE, 2018. http://dx.doi.org/10.1117/12.2501519.

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Li, JiDong. "Mathematical models for researching the human factors on the heat transfer in a pool." In 2016 2nd Workshop on Advanced Research and Technology in Industry Applications (WARTIA-16). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/wartia-16.2016.146.

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Scoba, A. N., V. K. Mikhaylov, and A. N. Panfilov. "Mathematical Models for Determining the Reliability Characteristics of Distributed Information Processing Systems in the Electric Power Industry." In 2020 International Russian Automation Conference (RusAutoCon). IEEE, 2020. http://dx.doi.org/10.1109/rusautocon49822.2020.9208193.

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8

Dang Yaoguo, Wang Zhengxin, and Mi Chuanmin. "Mathematical models of the adjustment of the internal structure for the Chinese first industry and responding measure." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811523.

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9

Yanagisawa, Tadashi, John S. Fleming, Asit K. Dutta, and Mitsuhiro Fukuta. "A Study of a Refrigeration Cycle Driven by a Liquid Refrigerant Injected Compressor." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1001.

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Abstract:
Abstract The performance of a refrigeration cycle driven by a liquid refrigerant injected compressor is investigated to examine its energy saving characteristics and performance improvement. Mathematical models of the compressor, the condenser and their combination in a complete cycle are used. The model shows an increase of the suction mass flow, an associated increase of the compression power and a small change of the overall efficiency due to the reduced temperatures of the refrigerant discharge and the compressor body. A condenser fed with refrigerant of lower superheat and greater mass flow shows an improvement in performance due to an increase in the two-phase region, though the improvement depends on the secondary fluid flow conditions. The thermal capacity and coefficient of performance of the total cycle increases with the injection ratio due to the combined effects of the compressor and the condenser.
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Derevyanov, Maksim Yu, Yuliya E. Pleshivtseva, and Aleksandr A. Afinogentov. "Development Approach to an Expert System for Efficiency Assessment of Waste Recycling in the Oil Industry Based on DEA Models." In 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2021. http://dx.doi.org/10.1109/summa53307.2021.9632022.

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