EngRN: Production Engineering (Topic)最新文献

{"title":"Rotary Kiln Reduction of Titano-Magnetite Concentrate","authors":"H. Sun, Yaguang Guo, Chuangui Wu","doi":"10.2139/ssrn.3926684","DOIUrl":"https://doi.org/10.2139/ssrn.3926684","url":null,"abstract":"A series of reduction test runs were carried out in a laboratory rotating tube using -3mm concentrate, which was magnetically separated from a titano-magnetite ore, and high ash thermal coal supplied from Mozambique. The effect of temperature, residence time and coal to concentrate ratio (C/Fe stoichiometric ratio) on the degree of iron metallisation was studied during the runs and the results indicated that above 70% high level metallisation degree could be obtained under the conditions of 1.5 times stoichiometric coal addition at 1150 °C for 2 hours. Following the success of bench scale tests, pilot plant (semi-industry scale) operation were conducted in a Φ1500×12500 (mm) rotary kiln for direct reduction of iron (DRI). A total of 78t concentrate was processed in a 17 day campaign. Although various problems occurred during the first few days trial, the operation of rotary kiln gradually turned relatively stable, and metallisation degree of DRI reached 50%~60% in the stable stage with fuel and reductant coal addition of the amount of concentrate is 50% (about 1.5 times of stoichiometry). The pilot plant test achieved satisfactory direct reduction of mixed -3mm titano-magnetite concentrate and high ash thermal coal without pelletizing process, with kiln operating parameters of 1150 ~1200°C temperature and not less than 3 hours residence time in hot zone.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134116689","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":"Predicting Mechanical Property Plateau in Laser Polymer Powder Bed Fusion Additive Manufacturing via the Critical Coalescence Ratio","authors":"C. A. Chatham, M. Bortner, Blake N. Johnson, T. Long, C. Williams","doi":"10.2139/ssrn.3805240","DOIUrl":"https://doi.org/10.2139/ssrn.3805240","url":null,"abstract":"Abstract The state of the art in property-process relationships in the laser polymer powder bed fusion (LPPBF) subcategory of powder bed fusion (PBF) has derived relationships between the energy supplied and polymer thermal properties governing melting and degradation, so-called the “energy melt ratio (EMR).” The EMR provides a framework for process parameter value selection based solely on melting behavior. However, coalescence, and not merely melting, is the basis for mechanical properties in LPPBF printed parts. The authors present a method for (1) predicting polymer coalescence based on transient temperature profiles resulting from a combination of LPPBF process parameter values and (2) connecting the predicted coalescence response to the observed onset of a plateau in mechanical properties. This work tests the hypothesis that the observed onset of a mechanical property plateau corresponds with a transition in consolidation physics. Complete coalescence must be achieved prior to the onset of physical gelation. For this work, in situ transient temperature profiles were obtained using infrared thermography. Coalescence prediction, via the Upper-convected Maxwell model, and physical gelation prediction, via Lauritzen-Hoffman and Avrami equations, were found to successfully identify LPPBF parameter combinations resulting in parts with density and tensile strength inside the plateau region. The hypothesis that the plateau occurs at the onset of closed pore morphology is supported. Keywords Additive manufacturing; Powder bed fusion; selective laser sintering; polymer coalescence; process parameter prediction; physical gelation List of Abbreviations a Particle size a0 original particle size AM Additive manufacturing CCR Critical Coalescence Ratio De Deborah number DSC Differential scanning calorimetry ED Energy density EMR Energy melt ratio h Hatch spacing IR infrared l layer height P laser power PBF Powder bed fusion LPPBF Laser polymer powder bed fusion rchamber Dimensionless neck radius after isothermal time as a supercooled polymer melt rcritical Dimensionless neck radius at 0.94 relative density rlaser Dimensionless neck radius after laser scanning SC Scan count tAF, 1 Time available for fusion while the laser is scanning tAF, 2 Time available for fusion after the laser has finished scanning until a new layer begins tAF Time available for fusion Tb, inf Temperature of the powder bed bulk tCF Time for critical fusion (i.e., 0.835 dimensionless neck radius) Tfeed Temperature of the feed powder tX10 Time to 10% crystallinity Tm0 Equilibrium melting temperature Tb Surface temperature of the powder bed Tmax maximum temperature measured when laser scanning UCM Upper-convected Maxwell Vb Beam speed x neck radius η Viscosity (unspecified) η0 Zero-shear viscosity ηext Extentional viscosity ηss Steady shear viscosity Γ Surface energy λ Relaxation time Θ Angle between coalescing particles","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660401","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":"Building Resilience through Cross Industry Team Collaboration","authors":"Susanta Mandal","doi":"10.2139/ssrn.3860928","DOIUrl":"https://doi.org/10.2139/ssrn.3860928","url":null,"abstract":"\u0000 This paper addresses the key issues that go into the making of a heavy truck wherein steel made parts are used in the making of a chassis , so here the challenge for both for the bodyframe designer of the automobile industry and the sheet metal designer of the steel industry to come up with solutions that not only addresses problems relating to the lowering of the weight but also making it strong enough to bear enough loads taking into account changes in materials used , kinematics – differences in body angles that affects the velocity of the actions directed , how parts connected not only in the truck but also in the processes followed including changes in design and thereafter the prototypes to be tried out in the face of oncoming changes . A pentagonal framework that includes open cost modelling as well a business model that talks of creating a value streams in consonance with the changes for the uncertain future has been included.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125947205","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":"Developing an Industry 4.0 Readiness Model for Indian Engineering Industries","authors":"M. Sony, P. Aithal","doi":"10.47992/ijmts.2581.6012.0110","DOIUrl":"https://doi.org/10.47992/ijmts.2581.6012.0110","url":null,"abstract":"For India to be a global economic superpower, the Indian Engineering Industry which at present is the largest foreign exchange earner must make its strong presence in the global markets. Industry 4.0 is one such initiative which has the power to transform the Indian Engineering Industry to be globally competitive along several strategic dimensions. Industry 4.0 is gradually making inroads and yet, there is no model to assess whether the Indian Engineering Industry is prepared to implement Industry 4.0. This study develops a multi-dimensional Industry4.0 readiness model by analysing in-depth the extant literature. A theoretical framework for assessment is developed. Further, the developed model is qualitatively analysed using the ABCD framework. Practical application of Industry 4.0 readiness model in Indian Engineering Industries is discussed. This is the first Industry 4.0 readiness model developed for Indian Engineering Industries.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128168752","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":"Influence of Chemically Etched Roughness on Frictional Resistance of Micro-tubes","authors":"Richie Garg, A. Agrawal","doi":"10.2139/ssrn.3721507","DOIUrl":"https://doi.org/10.2139/ssrn.3721507","url":null,"abstract":"Chemical etching is a convenient process for enhancing three-dimensional (3D) roughness of internal surface of micro-tubes. The aim of this research work is to compare the frictional resistance and contact angle in smooth and rough stainless steel micro-tubes. At various inputs of Reynolds number in laminar regime (201.43 < Re < 1929.96), differential pressure has been measured for etched and unetched tubes with deionized water. In order to substantiate the effect of roughness on tube, contact angle is measured before and after etching to calculate roughness parameter. It is found that etching enlarges the inner diameter of the tube; hence new diameter should be considered for Poiseuille number (fRe) calculations. The role of etching on fRe is more significant on tube of inner diameter (ID) 0.932 mm, as compared to tube of ID 1.293 mm. Etching increases the contact angle of hydrophobic surface. This work would be applicable in design improvement of complex micro-devices when relative roughness plays a major role due to small scale.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133533391","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":"The Statement of the Task of Optimal Control of the Production Line Using the Additional Time of Equipment Operation","authors":"V. Khodusov, O. Pihnastyi","doi":"10.26565/2304-6201-2019-42-09","DOIUrl":"https://doi.org/10.26565/2304-6201-2019-42-09","url":null,"abstract":"The production line of an enterprise with a flow method of organizing production is considered as a dynamic distributed system. The technological route for manufacturing products for many modern enterprises contains several hundreds of technological operations, in the inter-operating reserve of each of which there are thousands of products awaiting processing. Technological routes of different parts of the same type of products intersect. This leads to the fact that the distribution of objects of labor along the technological route has a significant impact on the throughput capacity of the production line. To describe such systems, a new class of production line models (PDE-model) has been introduced. Models of this class use partial differential equations to describe the behaviour of production line flow parameters. In this article, a PDE-model of the production line is built, the flow parameters of which depend on the load factor of the process equipment for each operation. For the description of a distributed dynamic system, the PDE model of the production line was used. At the same time, the single-shift mode of operation of a production enterprise is considered as a basic mode of operation.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129573161","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":"Meeting Corporate Renewable Power Targets","authors":"Alessio Trivella, Danial Mohseni-Taheri, Selvaprabu Nadarajah","doi":"10.2139/ssrn.3294724","DOIUrl":"https://doi.org/10.2139/ssrn.3294724","url":null,"abstract":"Several corporations have committed to procuring a percentage of their electricity demand from renewable sources by a future date. Long-term financial contracts with renewable generators based on a fixed strike price, known as virtual power purchase agreements (VPPAs), are popular to meet such a target. We formulate rolling power purchases using a portfolio of VPPAs as a Markov decision process, accounting for uncertainty in generator availability and in the prices of electricity, renewable energy certificates, and VPPAs. Obtaining an optimal procurement policy is intractable. We consider forecast-based reoptimization heuristics consistent with practice that limit the sourcing of different VPPA types and the timing of new agreements. We extend these heuristics and introduce an information-relaxation based reoptimization heuristic, both of which allow for full sourcing and timing flexibilities. The latter heuristic also accounts for future uncertainties when making a decision. We assess the value of decision flexibility in rolling power purchases to meet a renewable target by numerically comparing the aforementioned policies and variants thereof on realistic instances involving a novel strike price stochastic process calibrated to data. Policies with full timing flexibility and no sourcing flexibility reduce procurement costs significantly compared with one with neither type of flexibility. Introducing sourcing flexibility in the former policies results in further significant cost reduction, thus providing support for using VPPA portfolios that are both dynamic and heterogeneous. Computing near-optimal portfolios of this nature entails using our information-relaxation based reoptimization heuristic because portfolios constructed via forecast-based reoptimization exhibit higher suboptimality. This paper was accepted by Ilia Tsetlin, behavioral economics and decision analysis.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130156875","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":"Process Improvement and Reduction of Cycle Time for GTMC CNC Used in Machining of Multistage Pump","authors":"Rathod R. P, R. Chanmanwar","doi":"10.2139/ssrn.3215084","DOIUrl":"https://doi.org/10.2139/ssrn.3215084","url":null,"abstract":"This paper present the improvement in a machining process by using the 5S tools and Taguchi technique. The quality and productivity play significant role in today‟s pump manufacturing industry, from the customer‟s point of view, therefore every production unit should concern about quality of the product. The reduction in cycle time of a components in an industry by implementing lean tool (2S) and experimental study to optimize cutting parameters during machining of FG260 (grey cast-iron) to minimization of surface roughness (Ra) and cycle time of FG260 affect the aesthetical aspect of the final product and hence it is essential to select the best combination values of the CNC turning process parameters to optimize. An orthogonal array, Signal to noise(S/N) ratio and analysis of variance (ANOVA) were employed to analyze the effects and contributions of cutting speed, feed rate and depth of cut on the response variable. The experiments were carried out on a CNC turning, using coated carbide insert for the machining of Grey cast-iron. The experiments were carried out as per L9 orthogonal array.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612525","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":"Big and Little Feet Provincial Profiles: Alberta","authors":"S. Dobson, G. Fellows","doi":"10.11575/SPPP.V10I0.43052","DOIUrl":"https://doi.org/10.11575/SPPP.V10I0.43052","url":null,"abstract":"This communique provides a summary of the production- and consumption-based greenhouse gas emissions accounts for Alberta, as well as their associated trade flows. It is part of a series of communiques profiling the Canadian provinces and territories.1 In simplest terms, a production-based emissions account measures the quantity of greenhouse gas emissions produced in Alberta. In contrast, a consumption-based emissions account measures the quantity of greenhouse gas emissions generated during the production process for final goods and services that are consumed in Alberta through household purchases, investment by firms and government spending. Trade flows refer to the movement of emissions that are produced in Alberta but which support consumption in a different province, territory or country (and vice versa). For example, emissions associated with the production of Alberta crude oil that is exported to British Columbia for refining and sale as motor gasoline are recorded as a trade flow from Alberta to British Columbia. Moving in the opposite direction, emissions associated with the production of Saskatchewan crops that are exported to Alberta for processing and sale in Alberta grocery stores are recorded as a trade flow from Saskatchewan to Alberta. For further details on these results in a national context, the methodology for generating them and their policy implications, please see the companion papers to this communique series: (1) Fellows and Dobson (2017); and (2) Dobson and Fellows (2017). Additionally, the consumption emissions and trade flow data for each of the provinces and territories are available at: http://www.policyschool.ca/embodied-emissions-inputs-outputs-datatables-2004-2011/.","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114624493","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":"Optimal Production Planning in Stochastic Jobshops with Long-Run Average Cost","authors":"E. Presman, S. Sethi, Hanqin Zhang","doi":"10.1007/978-3-642-57684-3_22","DOIUrl":"https://doi.org/10.1007/978-3-642-57684-3_22","url":null,"abstract":"","PeriodicalId":325178,"journal":{"name":"EngRN: Production Engineering (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129576028","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}