S. Sabanov, Nursultan Magauiya, Aibyn Zenulla, Akmaral S. Abil, Gulnur Nurshaiykova
Extended Abstract Underground mines are particularly hazardous environments where miners have exposure to toxic fumes and gases. To ensure mine safety a sufficient mine ventilation must be provided. Ventilation of underground mines should be estimated considering diesel equipment's engine power, blasting toxic fumes, gases, aerosols, dust and the unit airflow needed. Diesel engines are main sources of toxic gases (CO, CO 2 , NOX, SO 2 , hydrocarbons) and diesel particulate matter (DPM). DPM is related to elemental carbon (EC) and organic carbon (OC) and numerous gases and aerosols produced by incomplete combustion. Relationship between EC and OC fractions in untreated exhaust depends on engine operating conditions, engine type, fuel type, and a number of other parameters [5]. The total carbon (TC) is calculated by adding the EC and OC numbers together, and it typically represents 80% of the DPM [6]. Only 5-10% of all DPM are greater than one micrometer diameter [2]. Particulate Matter (PM 1 ) concentration is commonly thought to be used as a DPM level since it is the size range that encompasses practically all DPM [5]. Mine ventilation, diesel emission rate, exhaust flow direction,
{"title":"Diesel Particulate Matter Exposure to an Operator of LHD Loader Working in an Active Ore Heading Area","authors":"S. Sabanov, Nursultan Magauiya, Aibyn Zenulla, Akmaral S. Abil, Gulnur Nurshaiykova","doi":"10.11159/mmm22.132","DOIUrl":"https://doi.org/10.11159/mmm22.132","url":null,"abstract":"Extended Abstract Underground mines are particularly hazardous environments where miners have exposure to toxic fumes and gases. To ensure mine safety a sufficient mine ventilation must be provided. Ventilation of underground mines should be estimated considering diesel equipment's engine power, blasting toxic fumes, gases, aerosols, dust and the unit airflow needed. Diesel engines are main sources of toxic gases (CO, CO 2 , NOX, SO 2 , hydrocarbons) and diesel particulate matter (DPM). DPM is related to elemental carbon (EC) and organic carbon (OC) and numerous gases and aerosols produced by incomplete combustion. Relationship between EC and OC fractions in untreated exhaust depends on engine operating conditions, engine type, fuel type, and a number of other parameters [5]. The total carbon (TC) is calculated by adding the EC and OC numbers together, and it typically represents 80% of the DPM [6]. Only 5-10% of all DPM are greater than one micrometer diameter [2]. Particulate Matter (PM 1 ) concentration is commonly thought to be used as a DPM level since it is the size range that encompasses practically all DPM [5]. Mine ventilation, diesel emission rate, exhaust flow direction,","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126834996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Heat Flux Prediction Accuracy Assessment of Separated Mode and Doenecke Equations for MLI Blankets","authors":"Toygan Er, Özgür Ekici","doi":"10.11159/htff22.160","DOIUrl":"https://doi.org/10.11159/htff22.160","url":null,"abstract":"","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127401638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Natural circulation is a crucial passive heat removal process for all light water reactors. To understand the consequences of decreasing primary coolant inventory on natural circulation, an analytical one-dimensional model has been developed for a sinusoidal input heat distribution, based on solutions to the continuity, momentum and energy equations and expressions for the natural circulation parameters have been derived for PWR plant. The model encompasses all potential types of natural circulation (single-phase, combined single and two-phase, and two-phase). In this paper, it is found that the transition between the different modes of natural circulation with various system inventories is smooth. As the flow mode changes from single-phase (100% mass inventory) to two-phase natural circulation, the loop mass flow rate increases and exhibits a peak within a narrow band of inventory (usually between 60-80%). Also, it is demonstrated that natural circulation in a PWR type system can provide an effective mechanism for the rejection of core decay heat to the secondary over a primary coolant inventory range of 100 to 60%, and a core decay power range of 1.5 to 5% of full power. Comparisons are made between pervious experimental results and prior research and the analytical outcomes are found to be in reasonable accord.
{"title":"Natural Circulation in a PWR for a Sinusoidal Heat Input: Analytical Model","authors":"M. Abdulrahman","doi":"10.11159/htff22.189","DOIUrl":"https://doi.org/10.11159/htff22.189","url":null,"abstract":"Natural circulation is a crucial passive heat removal process for all light water reactors. To understand the consequences of decreasing primary coolant inventory on natural circulation, an analytical one-dimensional model has been developed for a sinusoidal input heat distribution, based on solutions to the continuity, momentum and energy equations and expressions for the natural circulation parameters have been derived for PWR plant. The model encompasses all potential types of natural circulation (single-phase, combined single and two-phase, and two-phase). In this paper, it is found that the transition between the different modes of natural circulation with various system inventories is smooth. As the flow mode changes from single-phase (100% mass inventory) to two-phase natural circulation, the loop mass flow rate increases and exhibits a peak within a narrow band of inventory (usually between 60-80%). Also, it is demonstrated that natural circulation in a PWR type system can provide an effective mechanism for the rejection of core decay heat to the secondary over a primary coolant inventory range of 100 to 60%, and a core decay power range of 1.5 to 5% of full power. Comparisons are made between pervious experimental results and prior research and the analytical outcomes are found to be in reasonable accord.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127532215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andoniaina M. Randriambololona, M. Shaeri, Soroush Sarabi
– In the present study, artificial neural network (ANN) models are developed to predict heat transfer coefficient (ℎ) and pressure drop (∆𝑃𝑃) in cold plates (CPs) with surface roughness operating in turbulent flow. Roughness sizes range from zero (smooth surface) to 0.5 mm, and Reynolds numbers vary from 3,170 to 10,560. The RNG 𝑘𝑘 − 𝜀𝜀 model is used to simulate turbulent flow. Input data for the ANN models are prepared by simulating three-dimensional steady state turbulent flow and heat transfer inside the CPs. Separate multilayer neural networks are selected to predict ℎ and ∆𝑃𝑃 . Both ANN architectures include two hidden layers with 1,024 neurons in each layer. The accuracy of the training process and the neural network is assessed by the mean absolute error. Both ANN models show excellent predictions as the predicted ℎ and ∆𝑃𝑃 are within ±1.2% and ±2.6% of the simulated values, respectively. Since roughness is an inevitable consequence of additive manufacturing, the present study suggests that accurate ANN-based models can be used as promising design tools for optimizing additively manufactured CPs. While roughness improves heat transfer, it leads to a higher pressure drop. As a result, accurate ANN models can be used to design additively manufactured cooling systems with an optimized range of roughness to improve heat transfer while operating within the allowed pressure drop and pumping power.
{"title":"Artificial Neural Network Models to Predict Heat Transfer Coefficients and Pressure Drops in Cold Plates with Surface Roughness","authors":"Andoniaina M. Randriambololona, M. Shaeri, Soroush Sarabi","doi":"10.11159/htff22.167","DOIUrl":"https://doi.org/10.11159/htff22.167","url":null,"abstract":"– In the present study, artificial neural network (ANN) models are developed to predict heat transfer coefficient (ℎ) and pressure drop (∆𝑃𝑃) in cold plates (CPs) with surface roughness operating in turbulent flow. Roughness sizes range from zero (smooth surface) to 0.5 mm, and Reynolds numbers vary from 3,170 to 10,560. The RNG 𝑘𝑘 − 𝜀𝜀 model is used to simulate turbulent flow. Input data for the ANN models are prepared by simulating three-dimensional steady state turbulent flow and heat transfer inside the CPs. Separate multilayer neural networks are selected to predict ℎ and ∆𝑃𝑃 . Both ANN architectures include two hidden layers with 1,024 neurons in each layer. The accuracy of the training process and the neural network is assessed by the mean absolute error. Both ANN models show excellent predictions as the predicted ℎ and ∆𝑃𝑃 are within ±1.2% and ±2.6% of the simulated values, respectively. Since roughness is an inevitable consequence of additive manufacturing, the present study suggests that accurate ANN-based models can be used as promising design tools for optimizing additively manufactured CPs. While roughness improves heat transfer, it leads to a higher pressure drop. As a result, accurate ANN models can be used to design additively manufactured cooling systems with an optimized range of roughness to improve heat transfer while operating within the allowed pressure drop and pumping power.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133369481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Chokkalingam, Abdulkader Elmir, Hilal El-Hassan, A. El-Dieb
- This paper aims to optimize the mixture proportions of geopolymer concrete prepared using a binary binder system composed of ceramic waste powder (CWP) and ground granulated blast furnace slag (or simply slag) for superior mechanical performance. The corresponding mixtures were proportioned, analyzed, and optimized by adopting the Taguchi approach. The binder content, CWP replacement rate by slag, alkali-activator solution-to-binder (AAS/B) ratio, sodium silicate-to-sodium hydroxide (SS/SH) ratio, and sodium hydroxide solution molarity were assigned as factors in the design phase. Each factor was characterized by four different levels, resulting in the establishment of an L 16 orthogonal array. The target design property was the 28-day cylinder compressive strength. The analysis of variance showed that AAS/B ratio, CWP replacement rate by slag, and SS/SH ratio were key factors affecting the strength in geopolymer concrete, while SH molarity and binder content showed the least contributions. The blended geopolymer made with 40% CWP and 60% slag yielded the optimal compressive strength response with a binder content, AAS/B ratio, SS/SH ratio, and SH solution molarity of 450 kg/m 3 , 0.5, 1.5, and 10 M, respectively.
{"title":"Optimization of CWP-Slag Blended Geopolymer Concrete using Taguchi Method","authors":"P. Chokkalingam, Abdulkader Elmir, Hilal El-Hassan, A. El-Dieb","doi":"10.11159/mmme22.111","DOIUrl":"https://doi.org/10.11159/mmme22.111","url":null,"abstract":"- This paper aims to optimize the mixture proportions of geopolymer concrete prepared using a binary binder system composed of ceramic waste powder (CWP) and ground granulated blast furnace slag (or simply slag) for superior mechanical performance. The corresponding mixtures were proportioned, analyzed, and optimized by adopting the Taguchi approach. The binder content, CWP replacement rate by slag, alkali-activator solution-to-binder (AAS/B) ratio, sodium silicate-to-sodium hydroxide (SS/SH) ratio, and sodium hydroxide solution molarity were assigned as factors in the design phase. Each factor was characterized by four different levels, resulting in the establishment of an L 16 orthogonal array. The target design property was the 28-day cylinder compressive strength. The analysis of variance showed that AAS/B ratio, CWP replacement rate by slag, and SS/SH ratio were key factors affecting the strength in geopolymer concrete, while SH molarity and binder content showed the least contributions. The blended geopolymer made with 40% CWP and 60% slag yielded the optimal compressive strength response with a binder content, AAS/B ratio, SS/SH ratio, and SH solution molarity of 450 kg/m 3 , 0.5, 1.5, and 10 M, respectively.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114358515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
- This article presents the results of the study of water pollution of the Seman River basin, based on physico-chemical parameters. This study was conducted during the period April - June 2019. The selection of sampling stations was done in order to the results of the study provide, a complete information on the level of pollution of these waters and the main causes of this pollution. Water samples were analyzed for temperature, pH, conductivity, total suspended solids (TSS), total alkalinity, total hardness, dissolved oxygen (DO), chemical oxygen demand (COD). All analyzes were performed using standard analytical methods (APHA, DIN, ISO). The results were processed using descriptive statistics method and compared with international water quality standards. The results obtained showed that the values of some parameters were above the allowed or recommended norms. Since the main causes of pollution of these waters are discharges of untreated urban water and those from various economic activities, or discharges of wastewaters, it is recommended: Taking measures to minimize the causes of pollution, such as improving the sewerage network of the area, the provision of a completely special system, serious investments in the treatment of untreated urban waters and those from various economic activities as well as the information of the population on the importance of protecting these waters from pollution and the consequences of these pollutions.
{"title":"Determination of Physico-Chemical Parameters in the Seman\u0000Basin Waters, In the Fieri City","authors":"V. Hoxha, A. Jano, K. Vaso, Enkela Poro","doi":"10.11159/iccpe22.117","DOIUrl":"https://doi.org/10.11159/iccpe22.117","url":null,"abstract":"- This article presents the results of the study of water pollution of the Seman River basin, based on physico-chemical parameters. This study was conducted during the period April - June 2019. The selection of sampling stations was done in order to the results of the study provide, a complete information on the level of pollution of these waters and the main causes of this pollution. Water samples were analyzed for temperature, pH, conductivity, total suspended solids (TSS), total alkalinity, total hardness, dissolved oxygen (DO), chemical oxygen demand (COD). All analyzes were performed using standard analytical methods (APHA, DIN, ISO). The results were processed using descriptive statistics method and compared with international water quality standards. The results obtained showed that the values of some parameters were above the allowed or recommended norms. Since the main causes of pollution of these waters are discharges of untreated urban water and those from various economic activities, or discharges of wastewaters, it is recommended: Taking measures to minimize the causes of pollution, such as improving the sewerage network of the area, the provision of a completely special system, serious investments in the treatment of untreated urban waters and those from various economic activities as well as the information of the population on the importance of protecting these waters from pollution and the consequences of these pollutions.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"79 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130573977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An additively manufactured capillary-driven two-phase cold plate was fabricated for use in a hybrid two-phase cooling system (HTPCS). The pumped two-phase loop continuously supplies the cold plate with a liquid refrigerant (R245fa), which is transported by capillary action through a wick structure to the heat source. High heat flux cooling is then provided by evaporation at the menisci formed within the wick. The cold plate includes eight heaters that are located at the top and bottom surface of the cold plate. The main significance of the HTPCS lies within cold plate, or evaporator, which prevents flooding of the evaporator wick by balancing pressure drop between the liquid supply manifold and wick, while separating the liquid supply region from the vapor generation region with a non-permeable barrier (NPB). This separation allows for heat transfer by evaporation rather than boiling and enables high heat flux transport. The cold plate, integrated with wick structures and the NPB, is made of an aluminum alloy (AlSi10Mg) through one single direct metal laser sintering process. The present study is performed as a proof-of-concept to evaluate the cooling performance of the additively manufactured cold plate in a recently developed HTPCS developed by the authors. The motivation of this work is to reduce the current multiple labor-intensive fabrication processes related to previous versions of this cold plate into only one single process. The cold plate removes ~ 210 W/cm2 from the heaters; however, the inconsistent trends of thermal resistances, as well as different thermal resistances among heaters, indicate that there are effects caused by external parameter(s) that adversely affect the wicking performance of the evaporation region. Although further detailed research is required to address discrepancies among thermal resistances, current limitations in the fabrication process, such as using internal supports inside the cold plate as well as limitations to decrease the pore size below a threshold value, are identified as possible reasons for inconsistency in thermal resistances. Such limitations need to be addressed through further research into the additive manufacturing processes.
{"title":"Additive Manufacturing of Capillary-Driven Two-Phase Cold Plates","authors":"Jana Catuche, M. Shaeri, M. Ellis","doi":"10.11159/htff22.174","DOIUrl":"https://doi.org/10.11159/htff22.174","url":null,"abstract":"An additively manufactured capillary-driven two-phase cold plate was fabricated for use in a hybrid two-phase cooling system (HTPCS). The pumped two-phase loop continuously supplies the cold plate with a liquid refrigerant (R245fa), which is transported by capillary action through a wick structure to the heat source. High heat flux cooling is then provided by evaporation at the menisci formed within the wick. The cold plate includes eight heaters that are located at the top and bottom surface of the cold plate. The main significance of the HTPCS lies within cold plate, or evaporator, which prevents flooding of the evaporator wick by balancing pressure drop between the liquid supply manifold and wick, while separating the liquid supply region from the vapor generation region with a non-permeable barrier (NPB). This separation allows for heat transfer by evaporation rather than boiling and enables high heat flux transport. The cold plate, integrated with wick structures and the NPB, is made of an aluminum alloy (AlSi10Mg) through one single direct metal laser sintering process. The present study is performed as a proof-of-concept to evaluate the cooling performance of the additively manufactured cold plate in a recently developed HTPCS developed by the authors. The motivation of this work is to reduce the current multiple labor-intensive fabrication processes related to previous versions of this cold plate into only one single process. The cold plate removes ~ 210 W/cm2 from the heaters; however, the inconsistent trends of thermal resistances, as well as different thermal resistances among heaters, indicate that there are effects caused by external parameter(s) that adversely affect the wicking performance of the evaporation region. Although further detailed research is required to address discrepancies among thermal resistances, current limitations in the fabrication process, such as using internal supports inside the cold plate as well as limitations to decrease the pore size below a threshold value, are identified as possible reasons for inconsistency in thermal resistances. Such limitations need to be addressed through further research into the additive manufacturing processes.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114097698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Nguyen, Thanh-Hoang Phan, Dong-Hyun Kim, W. Park
Extended Abstract Cavitation bubble plays an important role in applications in diverse fields of science and technology such as naval structure engineering, biosciences, and biomedical technology. The cavitation bubble collapses violently, and in different conditions, the collapse of the cavitation bubble produces high-speed jets of liquid bubbles moving in different directions [1, 2]. This in turn generates high local energy and high-pressure waves and high temperature [3, 4]. Multiple events of cavitation bubble collapse that produce high pressure over time can cause detrimental effects on the mechanical components. This in turn generates high local energy and impacts the surface with high-pressure waves that can erode the metals [5]. Conversely, this energy was observed as useful for the hydrodynamic cavitation process in cleaning technology or in industrial applications such as wastewater treatment and biofuel production [6]. Bubble collapse leads to the re-entrant jet formation, concentrated pressures, shear, and lift forces on the dirt particle or biomass, and high impulsive loads on a layer of materials. In the other approaches, cavitation bubbles can be intentionally generated by using acoustic waves or laser technologies to take advantage of local high-energy and microjets for application to biosciences, and biomedical technology such as needle-free injection devices, tissue engineering, and lithotripsy [7]. In this study, we numerically simulate the cavity bubble expansion and its spherical and non-spherical collapse under various conditions. We shall compare different numerical models for this problem with the advantages and disadvantages of each model. We shall discuss the bubble dynamics as well as the high-speed jet, the presence of a shock
{"title":"Numerical Study of Cavitation Bubble Collapse under Various\u0000Conditions","authors":"V. Nguyen, Thanh-Hoang Phan, Dong-Hyun Kim, W. Park","doi":"10.11159/htff22.133","DOIUrl":"https://doi.org/10.11159/htff22.133","url":null,"abstract":"Extended Abstract Cavitation bubble plays an important role in applications in diverse fields of science and technology such as naval structure engineering, biosciences, and biomedical technology. The cavitation bubble collapses violently, and in different conditions, the collapse of the cavitation bubble produces high-speed jets of liquid bubbles moving in different directions [1, 2]. This in turn generates high local energy and high-pressure waves and high temperature [3, 4]. Multiple events of cavitation bubble collapse that produce high pressure over time can cause detrimental effects on the mechanical components. This in turn generates high local energy and impacts the surface with high-pressure waves that can erode the metals [5]. Conversely, this energy was observed as useful for the hydrodynamic cavitation process in cleaning technology or in industrial applications such as wastewater treatment and biofuel production [6]. Bubble collapse leads to the re-entrant jet formation, concentrated pressures, shear, and lift forces on the dirt particle or biomass, and high impulsive loads on a layer of materials. In the other approaches, cavitation bubbles can be intentionally generated by using acoustic waves or laser technologies to take advantage of local high-energy and microjets for application to biosciences, and biomedical technology such as needle-free injection devices, tissue engineering, and lithotripsy [7]. In this study, we numerically simulate the cavity bubble expansion and its spherical and non-spherical collapse under various conditions. We shall compare different numerical models for this problem with the advantages and disadvantages of each model. We shall discuss the bubble dynamics as well as the high-speed jet, the presence of a shock","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116163751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cezary Czajkowski, S. Pietrowicz, Henrik Kassai, Andrzej I. Nowak
The paper concerns a heat transfer characteristics for a pulsating heat pipe (PHP) under hyper - gravity condition. Two loops of pulsating heat pipe with the internal diameter of 1.5 mm were filled and tested with HFE - 7000 as a working fluid. The experimental se t-up allows for the investigation of two crucial parameters affecting the thermal process i.e. rotational speed (acceleration from 1 to 8g) and filling ratio (44 and 66, %). As a result, the dependences of the thermal resistance on the rotational speeds we re obtained, thus declaring the optimal conditions for the heat transport process. The increase in filing ratio (FR) of the working fluid in hy per- gravity condition improves the thermal efficiency of PHP, as well as the direction of the evaporation section bending.
{"title":"Geometrical Shape of Pulsating Heat Pipe under Hyper Gravity Condition","authors":"Cezary Czajkowski, S. Pietrowicz, Henrik Kassai, Andrzej I. Nowak","doi":"10.11159/htff22.169","DOIUrl":"https://doi.org/10.11159/htff22.169","url":null,"abstract":"The paper concerns a heat transfer characteristics for a pulsating heat pipe (PHP) under hyper - gravity condition. Two loops of pulsating heat pipe with the internal diameter of 1.5 mm were filled and tested with HFE - 7000 as a working fluid. The experimental se t-up allows for the investigation of two crucial parameters affecting the thermal process i.e. rotational speed (acceleration from 1 to 8g) and filling ratio (44 and 66, %). As a result, the dependences of the thermal resistance on the rotational speeds we re obtained, thus declaring the optimal conditions for the heat transport process. The increase in filing ratio (FR) of the working fluid in hy per- gravity condition improves the thermal efficiency of PHP, as well as the direction of the evaporation section bending.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117321838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rosa Moreno Jimenez, C. Marliere, B. Creton, O. Nguyen, Lionel Teulé-Gay, S. Marre
Global warming-related climate change demands prompt actions to reduce greenhouse gas (GHG) emissions, particularly carbon dioxide. To reduce GHGs, biomass-based biofuels containing oxygenated compounds represent a promising alternative of energy source. To convert biomass into energy, a variety of conversion processes performed at high pressure and high temperature conditions are required, and the design of such processes need as support, thermophysical property data, particularly thermal conductivity . The conventional methods to measure thermal conductivity are often time consuming and/or requires important quantities of products. Microfluidics has been proven as an appropriate support to overcome these issues thanks to its low reagent consumption, fast screening, low operating time, improvement of heat and mass transfers etc. It allows the automated manipulation, performing high throughput experimentation. In addition, over the last 10 years, a new field of investigation called "high pressure and high temperature (HP-HT) microfluidics" [1] has gained increasing interest, in particular for the determination of the thermo-physical properties of fluids systems[2] [3]. Currently, available methods for measuring thermal conductivity in microfluidics are not adapted to HP-HT conditions . Also, thermal conductivity data of oxygenated compounds are scarce in literature or not available in extreme conditions. Therefore, the use of alternative methods such as models, combined with microfluidics, are essential to complement experimental data. Machine learning (ML)
{"title":"Acquisition and Physico-Chemical Data Analysis of Oxygenated Compounds From Biomass Using Microfluidics","authors":"Rosa Moreno Jimenez, C. Marliere, B. Creton, O. Nguyen, Lionel Teulé-Gay, S. Marre","doi":"10.11159/htff22.181","DOIUrl":"https://doi.org/10.11159/htff22.181","url":null,"abstract":"Global warming-related climate change demands prompt actions to reduce greenhouse gas (GHG) emissions, particularly carbon dioxide. To reduce GHGs, biomass-based biofuels containing oxygenated compounds represent a promising alternative of energy source. To convert biomass into energy, a variety of conversion processes performed at high pressure and high temperature conditions are required, and the design of such processes need as support, thermophysical property data, particularly thermal conductivity . The conventional methods to measure thermal conductivity are often time consuming and/or requires important quantities of products. Microfluidics has been proven as an appropriate support to overcome these issues thanks to its low reagent consumption, fast screening, low operating time, improvement of heat and mass transfers etc. It allows the automated manipulation, performing high throughput experimentation. In addition, over the last 10 years, a new field of investigation called \"high pressure and high temperature (HP-HT) microfluidics\" [1] has gained increasing interest, in particular for the determination of the thermo-physical properties of fluids systems[2] [3]. Currently, available methods for measuring thermal conductivity in microfluidics are not adapted to HP-HT conditions . Also, thermal conductivity data of oxygenated compounds are scarce in literature or not available in extreme conditions. Therefore, the use of alternative methods such as models, combined with microfluidics, are essential to complement experimental data. Machine learning (ML)","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126819049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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