{"title":"Addendum: Average Surface Temperature Over the Circular Disk Heat Source/Sink Embedded in an Insulating Boundary Plane. Analytic Solution","authors":"William Pons, Stanley Pons","doi":"10.5802/crmeca.217","DOIUrl":"https://doi.org/10.5802/crmeca.217","url":null,"abstract":"","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135903668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Junejo, S. Sushanth Kumar, K. Harijan, Mejdi Jeguirim
{"title":"Comparative analysis of fuel wood consumption of improved mud stove and three stone fire stove: a case study","authors":"A. Junejo, S. Sushanth Kumar, K. Harijan, Mejdi Jeguirim","doi":"10.5802/crchim.235","DOIUrl":"https://doi.org/10.5802/crchim.235","url":null,"abstract":"","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47792303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Magro, F. Ramon-Portugal, D. Touboul, I. Borges, J. Hemptinne
{"title":"First report of fatty acid-derived alkaloids produced by species of the ladybird genus Scymnus (Coccinellidae: Coleoptera)","authors":"A. Magro, F. Ramon-Portugal, D. Touboul, I. Borges, J. Hemptinne","doi":"10.5802/crchim.230","DOIUrl":"https://doi.org/10.5802/crchim.230","url":null,"abstract":"","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42238739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
. Thepresentstudyfocusedonthecomparisonoftwointensifiedpretreatmenttechniquesfor wastecookingoil(WCO)collectedfromuniversityrestaurants.Thecookingoilwas100%soybeanand had an acidity value (AV) of 4.48 mg KOH/g oil. Ultrasound (US) and microwave (MW) irradiations were applied as non-chemical pretreatment methods with zero generated waste. The considered factors for the MW pretreatment were power and time ranging from 100 to 800 W and from 20 to 120 s, respectively. The US pretreatment was carried out at a temperature ranging from 20 to 40 °C for a residence time ranging from 5 to 50 min. For the two non-chemical pretreatment methods, optimal conditions were as follows: for microwave irradiation, a power of 100 W, a residence time of 50 s, and an acid value reduced to 1.056 mg KOH/g; whereas, the US pretreatment reduced the AV to 1.014 mg KOH/g at 40 °C, 30 min and 100 W. Finally, the pretreated WCO under optimal conditions was used for biodiesel production using conventional transesterification. Results showed that the pretreatment methods led to good results where the best biodiesel yield was 98%, obtained with US pretreatment,whileMWledtoayieldof96%.Bothyieldswerehigherthan94%,obtainedforbiodiesel production without any pretreatment.
{"title":"Waste cooking oil pretreatment using microwave and ultrasound methods","authors":"Halima Kerras, Nawel Outili, A. Meniai","doi":"10.5802/crchim.229","DOIUrl":"https://doi.org/10.5802/crchim.229","url":null,"abstract":". Thepresentstudyfocusedonthecomparisonoftwointensifiedpretreatmenttechniquesfor wastecookingoil(WCO)collectedfromuniversityrestaurants.Thecookingoilwas100%soybeanand had an acidity value (AV) of 4.48 mg KOH/g oil. Ultrasound (US) and microwave (MW) irradiations were applied as non-chemical pretreatment methods with zero generated waste. The considered factors for the MW pretreatment were power and time ranging from 100 to 800 W and from 20 to 120 s, respectively. The US pretreatment was carried out at a temperature ranging from 20 to 40 °C for a residence time ranging from 5 to 50 min. For the two non-chemical pretreatment methods, optimal conditions were as follows: for microwave irradiation, a power of 100 W, a residence time of 50 s, and an acid value reduced to 1.056 mg KOH/g; whereas, the US pretreatment reduced the AV to 1.014 mg KOH/g at 40 °C, 30 min and 100 W. Finally, the pretreated WCO under optimal conditions was used for biodiesel production using conventional transesterification. Results showed that the pretreatment methods led to good results where the best biodiesel yield was 98%, obtained with US pretreatment,whileMWledtoayieldof96%.Bothyieldswerehigherthan94%,obtainedforbiodiesel production without any pretreatment.","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45443812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Antoine Gekière, Apolline Michel, Irène Semay, Clément Tourbez, Martin Begou, D. Michez, P. Gerbaux, M. Vanderplanck
a Laboratory of Zoology, Research Institute for Biosciences, University of Mons, Mons, Belgium b Organic Synthesis and Mass Spectrometry Laboratory, Research Institute for Biosciences, University of Mons, Mons, Belgium c CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France E-mails: antoine.gekiere@umons.ac.be (A. Gekière), apolline.michel@student.umons.ac.be (A. Michel), irene.semay@umons.ac.be (I. Semay), clement.tourbez@umons.ac.be (C. Tourbez), martin.begou@student.umons.ac.be (M. Begou), denis.michez@umons.ac.be (D. Michez), pascal.gerbaux@umons.ac.be (P. Gerbaux), maryse.vanderplanck@cefe.cnrs.fr (M. Vanderplanck)
{"title":"Tree-dimensional resources: hedgerow and orchard pollen for bumble bees","authors":"Antoine Gekière, Apolline Michel, Irène Semay, Clément Tourbez, Martin Begou, D. Michez, P. Gerbaux, M. Vanderplanck","doi":"10.5802/crchim.231","DOIUrl":"https://doi.org/10.5802/crchim.231","url":null,"abstract":"a Laboratory of Zoology, Research Institute for Biosciences, University of Mons, Mons, Belgium b Organic Synthesis and Mass Spectrometry Laboratory, Research Institute for Biosciences, University of Mons, Mons, Belgium c CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France E-mails: antoine.gekiere@umons.ac.be (A. Gekière), apolline.michel@student.umons.ac.be (A. Michel), irene.semay@umons.ac.be (I. Semay), clement.tourbez@umons.ac.be (C. Tourbez), martin.begou@student.umons.ac.be (M. Begou), denis.michez@umons.ac.be (D. Michez), pascal.gerbaux@umons.ac.be (P. Gerbaux), maryse.vanderplanck@cefe.cnrs.fr (M. Vanderplanck)","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46439791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Le foisonnement éolien : les limites d’un mix électrique à forte proportion d’énergies renouvelables intermittentes","authors":"D. Grand, M. Fontecave","doi":"10.5802/crchim.232","DOIUrl":"https://doi.org/10.5802/crchim.232","url":null,"abstract":"","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42304588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, structure – property relationships (SPR) have been investigated using machine learning methods (ML). The research objective was to create a ML model that can predict the stress – strain response of materials at different temperatures from a given microstructure with industrially acceptable accuracy and high computational efficiency. Automated microstructure generation techniques and numerical simulations were developed to create a dataset for the ML model. Two – phase 3D representative volume elements (RVEs) were analyzed using finite element analysis (FEA) to obtain the stress – strain responses of the RVEs. The phase arrangement of the RVEs, the temperature, and the stress – strain responses were used to train the ML model. The microstructure arrangement and the temperature – dependent mechanical properties of each phase were known parameters, while the output parameter was the stress – strain response of the two – phase RVE. The ML model has shown excellent prediction accuracy in the temperature range from 20 °C to 250 °C. In addition, the model showed very high computational efficiency compared to FEA, allowing much faster prediction of the stress – strain curves at specific temperatures.
{"title":"Deep Learning of Temperature – Dependent Stress – Strain Hardening Curves","authors":"Filip Nikolić, Marko Čanađija","doi":"10.5802/crmeca.185","DOIUrl":"https://doi.org/10.5802/crmeca.185","url":null,"abstract":"In this study, structure – property relationships (SPR) have been investigated using machine learning methods (ML). The research objective was to create a ML model that can predict the stress – strain response of materials at different temperatures from a given microstructure with industrially acceptable accuracy and high computational efficiency. Automated microstructure generation techniques and numerical simulations were developed to create a dataset for the ML model. Two – phase 3D representative volume elements (RVEs) were analyzed using finite element analysis (FEA) to obtain the stress – strain responses of the RVEs. The phase arrangement of the RVEs, the temperature, and the stress – strain responses were used to train the ML model. The microstructure arrangement and the temperature – dependent mechanical properties of each phase were known parameters, while the output parameter was the stress – strain response of the two – phase RVE. The ML model has shown excellent prediction accuracy in the temperature range from 20 °C to 250 °C. In addition, the model showed very high computational efficiency compared to FEA, allowing much faster prediction of the stress – strain curves at specific temperatures.","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":"44 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135389197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Berville, C. Lucas, Mélissa Haouzi, A. Khalil, J. Gévar, A. Bagnères, E. Darrouzet
{"title":"Chemical profiles of venom glands in queens, foundresses, pre-wintering gynes, and workers in the hornet Vespa velutina nigrithorax","authors":"L. Berville, C. Lucas, Mélissa Haouzi, A. Khalil, J. Gévar, A. Bagnères, E. Darrouzet","doi":"10.5802/crchim.228","DOIUrl":"https://doi.org/10.5802/crchim.228","url":null,"abstract":"","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49104153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"St Clair, Robert. Poetry, Politics & The Body in Rimbaud","authors":"Hugues Azérad","doi":"10.7202/1097972ar","DOIUrl":"https://doi.org/10.7202/1097972ar","url":null,"abstract":"","PeriodicalId":10566,"journal":{"name":"Comptes Rendus. Chimie","volume":"41 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85723118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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