{"title":"Reviewers","authors":"Corina Sandu","doi":"10.4271/02-16-04-0029","DOIUrl":"https://doi.org/10.4271/02-16-04-0029","url":null,"abstract":"<div>Reviewers</div>","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135303959","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":"Assessment of Computational Fluid Dynamics Reynolds-Averaged Navier–Stokes Models for Bluff Bodies Aerodynamics","authors":"Sivamoorthy Kanagalingam, Youhanna E. William","doi":"10.4271/02-16-04-0028","DOIUrl":"https://doi.org/10.4271/02-16-04-0028","url":null,"abstract":"<div>Since the steady-state computational fluid dynamics (CFD) Reynolds-averaged Navier–Stokes (RANS) turbulence models offer low-cost and sensible accuracy, they are frequently utilized for bluff bodies’ external aerodynamics investigations (e.g., upwind, crosswind, and shape optimization). However, no firm certainty is made regarding the best model in terms of accuracy and cost. Based on cost and accuracy aspects, four RANS turbulence models were studied, which are Spalart–Allmaras, realizable k-ε, RNG k-ε, and SST k-ω. Ahmed body with a 25° slant angle benchmark case was introduced for this investigation. Two grids were generated to satisfy the near-wall treatment of each turbulence model. All grid settings were proposed and discussed in detail. Fluid-structure analysis was performed on five different planes. Regarding flow field prediction, realizable k-ε and renormalization group (RNG) k-ε models demonstrated a remarkable consistency with experimental data, while Menter’s shear stress transport (SST) k-ω showed a poor agreement. The obtained computational values of drag and lift coefficients were compared with experimental results. All investigated RANS turbulence models had reported results in excellent agreement with experimental drag coefficient values. The SST k-ω model has underestimated lift coefficient value with an error of about −45% with experimental value. Only realizable k-ε and RNG k-ε presented an error &lt;10% for predicting drag and lift coefficients.</div>","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135109139","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}
Hamidreza Rezaei Nedamani, Mostafa Soleymanifard, Ali Safaeifar, Parisa Masnadi Khiabani
{"title":"Soft Computing-Based Driver Modeling for Automatic Parking of Articulated Heavy Vehicles","authors":"Hamidreza Rezaei Nedamani, Mostafa Soleymanifard, Ali Safaeifar, Parisa Masnadi Khiabani","doi":"10.4271/02-16-04-0027","DOIUrl":"https://doi.org/10.4271/02-16-04-0027","url":null,"abstract":"<div>Parking an articulated vehicle is a challenging task that requires skill, experience, and visibility from the driver. An automatic parking system for articulated vehicles can make this task easier and more efficient. This article proposes a novel method that finds an optimal path and controls the vehicle with an innovative method while considering its kinematics and environmental constraints and attempts to mathematically explain the behavior of a driver who can perform a complex scenario, called the articulated vehicle park maneuver, without falling into the jackknifing phenomena. In other words, the proposed method models how drivers park articulated vehicles in difficult situations, using different sub-scenarios and mathematical models. It also uses soft computing methods: the ANFIS-FCM, because this method has proven to be a powerful tool for managing uncertain and incomplete data in learning and inference tasks, such as learning from simulations, handling uncertainty, and capturing expert parking expertise. The results obtained from the proposed method show that the use of a soft computation method significantly reduces the cumulative errors: errors resulting from summing up each sub-maneuver. Of course, the main source of these errors is related to starting from the random point that exists at the beginning of the predefined complex scenario. This implies that our method can effectively handle the uncertainty and variability of parking scenarios.</div>","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135982166","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":"Driveline System Effects on Powertrain Mounting Optimization for\u0000 Vibration Isolation under Actual Vehicle Conditions","authors":"Jitender Singh, Amitabh Sarna, Navin Kumar, Vikas Sharma","doi":"10.4271/02-16-04-0026","DOIUrl":"https://doi.org/10.4271/02-16-04-0026","url":null,"abstract":"Vehicle vibration is the key consideration in the early stage of vehicle\u0000 development. The most dynamic system in a vehicle is the powertrain system,\u0000 which is a source of various frequency vibration inputs to the vehicle. Mostly\u0000 for powertrain mounting system design, only the uncoupled powertrain system is\u0000 considered. However, in real situations, other subsystems are also attached to\u0000 the powertrain unit. Thereby, assuming only the powertrain unit ignores the\u0000 dynamic interactions among the powertrain and other systems. To address this\u0000 shortcoming, a coupled powertrain and driveline mounting system problem is\u0000 formulated and examined. This 16 DOF problem is constructed around a case of a\u0000 front engine-based powertrain unit attached to the driveline system, which as an\u0000 assembly resting on other systems such as chassis, suspensions, axles, and\u0000 tires. First, the effect of a driveline on torque roll axis and other rigid body\u0000 modes decoupling is examined analytically in terms of eigensolutions and\u0000 frequency responses. It is observed from the analysis that when the optimized\u0000 uncoupled powertrain system is introduced in real vehicle conditions, the\u0000 vibration isolation level of the powertrain mountings gets degraded. Then, a new\u0000 improved approach of considering coupled powertrain and driveline systems in the\u0000 initial design phase itself is proposed. The mounting system parameters such as\u0000 mount location, mount orientation angle, and stiffness rate are optimized and\u0000 redesigned for the proposed system. The results of the redesigned system show\u0000 that the decoupling of the rigid body mode parameters is improved and\u0000 consequently powertrain vibration performance is also improved in static and\u0000 dynamic conditions of the vehicle. Overall, the findings of this study suggest\u0000 that considering the driveline along with the powertrain as a coupled system at\u0000 the early phase of the mounting system design itself improves the vibration\u0000 performance of the vehicle during real-life situations.","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46656482","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}