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Thiyagarajan, J.
- Impact Behavior of Automotive Bumper Beam under Crashes
Abstract Views :172 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, SRM University, Chennai - 603203,Tamil Nadu, IN
2 Department of Mechatronics Engineering, SRM University, Chennai - 603203, Tamil Nadu, IN
3 Department of Automobile Engineering, SRM University, Chennai - 603203,Tamil Nadu, IN
1 Department of Mechanical Engineering, SRM University, Chennai - 603203,Tamil Nadu, IN
2 Department of Mechatronics Engineering, SRM University, Chennai - 603203, Tamil Nadu, IN
3 Department of Automobile Engineering, SRM University, Chennai - 603203,Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: This work is an attempt to present commercially used designs and analyze it to compare the impact behavior of each design of bumper beams during head-on collisions Methods/Statistical Analysis: In order to avoid series of destructive test for a new vehicle to be performed the necessity of economical design using finite element is performed in this study. Parameters like materials, shape and thickness are considered for carrying out analysis with the help of Hypermesh 9.0 and LS-DYNA software Findings: The main criterion to be discussed is energy absorbing Behavior of bumper beams during headon collisions. Analysis is carried out upto 20 millisecond. Results for different Designs and for varying thickness are obtained and compared to study the impact Behavior of beams under study. Impact behavior of Bumper beam is analyzed based on energy absorption of the beam and the displacement condition. Maximum nodal displacement is obtained for different thickness and materials and plotted over the period of time Application/Improvements: Experimental setup has to be developed for the testing of the model under crashes and to be analysed at operating condition.Keywords
Impact, Collisions, FEA, Bumper Beam, Energy Absorption- Evaluation of Human Exposure to Vibration Subjected to Active Suspension Actuators
Abstract Views :265 |
PDF Views:127
Authors
Affiliations
1 Dept. of Mechatronics Engg., SRM University, Tamil Nadu, IN
2 Dept. of Mech. Engg., Rajalakshmi Engg. College, Tamil Nadu, IN
1 Dept. of Mechatronics Engg., SRM University, Tamil Nadu, IN
2 Dept. of Mech. Engg., Rajalakshmi Engg. College, Tamil Nadu, IN
Source
International Journal of Vehicle Structures and Systems, Vol 9, No 2 (2017), Pagination: 68-71Abstract
This paper details the assessment of human response to vibration through modelling of seated human body using seven degrees of freedom lumped mass model. Continued human exposure to chronic vibrations may subsequently leads to person’s discomfort. To avoid this discomfort, an active suspension with combination of electro-hydraulic, pneumatic or air spring actuator is introduced between sprung mass and the unsprung mass which is controlled by a PID controller. For the simulation, ISO D-class road is given as input for the designed Matlab Simulink model and the results were compared. The simulation result shows that air spring actuators based active suspension can effectively attenuate the vertical vibration acceleration and increase the riding comfort.Keywords
Human Body, Lumped Mass, Vibration Control, Active Suspension, Hydraulic and Pneumatic Actuator.References
- A.M. Abd-El-Tawwab. 2013. Theoretical and experimental fuzzy control on vehicle pneumatic semiactive suspension system, J. American Science, 9(1), 498-507.
- J.S. Chiou and M.T. Liu. 2009. Using fuzzy logic controller and evolutionary genetic algorithm for automotive active suspension system, Int. J. Automotive Tech., 10(6), 703-710. https://doi.org/10.1007/s12239-009-0083-4.
- A. Podzorov and V. Prytkov. 2011. The vehicle ride comfort increase at the expense of semi-active suspension system, J. KONES Powertrain and Transport, 18(1).
- A. Agharkakli, U.S. Chavan and S. Phvithran. 2012. Simulation and analysis of passive and active suspension system using quarter car model for non uniform road profile, Int. J. Engg. Research and Applications, 2(5), 900-906.
- D.M. Barbu, I. Barbu and C. Drugă. 2007. Theoretical considerations concerning the human body behaviour in a vibrational medium, Annals of the Oradea University, Fascicle of Management and Tech. Engg., 6(16), 812-820.
- C.C. Liang and C.F. Chiang. 2008. Modeling of a seated human body exposed to vertical vibrations in various automotive postures, Industrial Health, 46, 125-137. https://doi.org/10.2486/indhealth.46.125.
- S. Badran, A. Salah, W. Abbas and O.B. Abouelatta. 2012. Design of optimal linear suspension for quarter car with human model using genetic algorithms, The Research Bulletin of Jordan ACM, 2(2), 42-51.
- Q. Zhao, Y. Chen and H. Feng. 2011. Vehicle seat suspension vibration reduction based on CMAC and PID compound control, Int. Conf. Transportation, Mech., and Electrical Engg., Chang Chun, China.
- H. Yanquan, L. Shaojun, Z. Hao and C. Dan. 2006. Fuzzy control of vehicle semi-active seat suspension using magneto-rheological damper, Automobile Engg., (7), 667-670.
- X. Song and M. Ahmadian. 2004. Study of semi-active adaptive control algorithms with magnetorheological seat suspension, SAE Int., 1648-1661.
- L. Huiying, G. Yuxian and Z. Chao. 2006. Active control and system simulation of vertical vibration in a vehicle seat, China Mech. Engg., 17(12), 1227-1230.
- P.E. Boileau and SS. Rakheja. 1998. Whole-body vertical bio-dynamic response characteristics of the seated vehicle driver measurement and model development, Int. J. Industrial Ergonomics, 22, 449-472. https://doi.org/10.1016/S0169-8141(97)00030-9.
- M. Presthus. 2002. Derivation of Air Spring Model Parameters for Train Simulation, Master Thesis, Lulea University of Tech., Sweden.
- Zulfatman and M.F. Rahmat. 2009. Application of self-tuning fuzzy PID controller on industrial hydraulic actuator using system identification approach, Int. J. Smart Sensing and Intelligent Systems, 2(2), 246-261.
- J.S. Lin and I. Kanellakopoulos. 1997. Nonlinear design of active suspensions, Contr. Syst. Mag., 17, 45-59. https://doi.org/10.1109/37.588129.
- M. Senthil kumar and S. Vijayarangan. 2007. Analytical and experimental studies on active suspension system of light passenger vehicle to improve ride comfort, Mechanika,3(65), 34-41.
- J. Lin, R.J. Lian, C.N. Huang and W.T. Sie. 2009. Enhanced fuzzy sliding mode controller for active suspension systems, Mechatronics, 19, 1178-1190. https://doi.org/10.1016/j.mechatronics.2009.03.009.
- V. Gavriloski and J. Jovanova. 2010. Dynamic behavior of an air spring elements, 4-5, 24-27.
- G. Quaglia and M. Sorli. 2001. Air suspension dimensionless analysis and design procedure, Veh. Syst. Dyn., 35, 443-475. https://doi.org/10.1076/vesd.35.6.443 .2040.
- K. Ramji, A. Gupta, V.H. Saran, V.K. Goel, and V.Kumar. 2004. Road roughness measurements using PSD approach, J. Institution of Engineers, 85, 193-201.
- Int. Organization for Standardization. 1997. Mechanical vibration and shock - Evaluation of human exposure to whole-body vibration - Part 1: General requirements, ISO 2631-1.
- C. Kaneko and T. Hagiwara. 2005. Scaling and evaluation of wholebody vibration by the category judgment method, Yamaha Motor Tech. Review, 1, 20.
- M. Senthikumar and Vijayarangan. 2006. Linear quadratic regulator controller design for active suspension system for random road surfaces, J. Scientific and Research, 65, 213-226.
- Modelling and Simulation of Full Vehicle Model with Variable Damper Controlled Semi-Active Suspension System
Abstract Views :218 |
PDF Views:95
Authors
Affiliations
1 Dept. of Auto. Engg. Research Institute, Jiangsu University, Zhenjiang, CN
2 Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, Chennai, IN
1 Dept. of Auto. Engg. Research Institute, Jiangsu University, Zhenjiang, CN
2 Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, Chennai, IN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 3 (2018), Pagination: 165-168Abstract
The main objective of the variable damper controlled vehicle suspension system is to reduce the discomfort identified by passengers which arises from road roughness and to increase the ride handling related with the rolling, pitching and heave movements. This imposes a very fast and accurate variable damper to meet as much control objectives, as possible. The method of the proposed damper is to reduce the vibrations on each corner of vehicle by providing control forces to suspension system while travelling on uneven road. Numerical simulations on a full vehicle suspension model are performed in the Matlab Simulink toolboxes to evaluate the effectiveness of the proposed approach. The obtained results show that the proposed system provides better results than the conventional suspension system.Keywords
Full Vehicle Model, 7 Degree of Freedom, Semi-Active Suspension, Passive Suspension, Simulation.References
- Z. Xie, P. Wong, J. Zhao, T. Xu, K.Wong and H. Wong. 2013. A noise-insensitive semi-active air suspension for heavy-duty vehicles with an integrated fuzzy-wheelbase preview control, Mathematical Problems in Engineering, 2013, 1-12.
- H. Pan, W. Sun, H. Gao, T. Hayat and F. Alsaadi. 2015. Nonlinear tracking control based on extended state observer for vehicle active suspensions with performance constraints, Mechatronics, 30, 363-370. https://doi.org/10.1016/j.mechatronics.2014.07.006
- C. Junyi and B. Gang. 2011. Fractional-order control of pneumatic position servo system, Mathematical Problems in Engg., 1-14.
- W. Sun, H. Pan, Y. Zhang and H. Gao. 2014. Multi-objective control for uncertain nonlinear active suspension systems, Mechatronics, 24(4), 318-327. https://doi.org/10.1016/j.mechatronics.2013.09.009.
- R.C. Sharma and S. Palli. 2016. Analysis of creep force and its sensitivity on stability and vertical-lateral ride for railway vehicle, Int. J. Vehicle Noise & Vibration, 12(1), 60-76. https://doi.org/10.1504/IJVNV.2016.077474.
- S. Palli, R.C. Sharma and P.P.D. Rao. 2017. Dynamic behaviour of a 7 DoF passenger car model, Int. J. Vehicle Structures and Systems, 9(1), 57-63. http://dx.doi.org/10.4273/ijvss.9.1.12.
- I. Maciejewski. 2012. Control system design of active seat suspensions, J Sound Vib, 331 1291-1309. https://doi.org/10.1016/j.jsv.2011.11.010.
- Y. Huang, J. Nan, X. Wu, X. Liu and Y. Guo. 2015. Adaptive control of nonlinear uncertain active suspension systems with prescribed performance, ISA Trans., 54, 145-155. https://doi.org/10.1016/j.isatra.2014.05.025.
- L. Panshuo, J. Lam and K.C. Cheung. 2014. Multiobjective control for active vehicle suspension with wheelbase preview, J. Sound and Vibration, 333, 5269-5282. https://doi.org/10.1016/j.jsv.2014.06.017.
- H. Li, H. Liu, H. Gao and P. Shi. 2012. Reliable fuzzy control for active suspension systems with actuator delay and fault, IEEE Trans Fuzzy Syst., 20(2), 342-57. https://doi.org/10.1109/TFUZZ.2011.2174244.
- R.C. Sharma and K.K. Goyal. 2017. Improved suspension design of Indian railway general sleeper ICF coach for optimum ride comfort, J. Vibration Engg. & Tech., 5(6), 547-556.
- A. Shirahatt, P.S.S. Prasad, P. Panzade and M.M. Kulkarni. 2008. Optimal design of passenger car suspension for ride and road holding, J. Brazil. Society of Mechanical, Sci. and Engg., 30(1), 66-74.
- R.C. Sharma. 2016. Evaluation of passenger ride comfort of Indian rail and road vehicles with ISO 2631-1 standards: Part 1 - Mathematical modelling, Int. J. Veh. Structures & Systems, 8(1), 1-6. http://dx.doi.org/10.4273/ijvss.8.1.01.
- H. Dua, K.Y. Szeb and J. Lam. 2005. Semi-active H1 controls of vehicle suspension with magneto-rheological dampers, J. Sound and Vibration, 283, 981-996. https://doi.org/10.1016/j.jsv.2004.05.030.
- R.S. Prabakar, C. Sujatha and S. Narayanan. 2013, Response of a quarter car model with optimal magneto rheological damper parameters, J. Sound and Vibration, 332(9), 2191-2206. https://doi.org/10.1016/j.jsv.2012.08.021.
- E. Guglielmino and K. Edge. 2005. Controlled friction damper for vehicle applications, Control Engg. Practice, 12(4), 431-443.
- S. Savaresi, S. Bittanti and M. Montiglio. 2005. Identification of semi-physical and black-box non-linear models: the case of MR-dampers for vehicles control, Automatica, 41, 113-117.
- M. Yu, X.M. Dong, S.B. Choi and CR. Liao. 2009. Human simulated intelligent control of vehicle suspension system with MR dampers, J. Sound and Vibration, 319, 753-767. https://doi.org/10.1016/j.jsv.2008.06.047.
- P. Krause and J. Kaspersky. 2014. Vibration control in quarter-car model with magneto rheological dampers using FxLMS algorithm with preview, Proc. European Control Conf., 1005-1010.
- D.M. Xu, M.O. Mohamed, R.N. Yong and F. Caporuscio. 1992. Development of a criterion for road surface roughness based on power spectral, J. Terra Mechanics, 29(4/5), 477-486.
- B. Wang, H. Guan, P. Lu and A. Zhang. 2014. Road surface condition identification approach based on road characteristic value, J. Terra Mechanics, 56, 103-117.
- Development and Control of Active Suspension System with Energy Regeneration Implementation Scheme
Abstract Views :225 |
PDF Views:116
Authors
Affiliations
1 Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, IN
2 Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, CN
1 Dept. of Mechatronics Engg., SRM Institute of Science and Technology, Kattankulathur, IN
2 Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, CN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 3 (2018), Pagination: 195-198Abstract
Active suspension systems have been used in the recent years as they provide better ride comfort, road handling and safety. The effect of vehicle vibration caused by road roughness is effectively reduced by active suspension system which plays an important role in improving the vehicle performance indices. The application of active suspension system is limited because it consumes high amount of energy. From the point of energy saving, a regenerative active suspension system is designed and its working principle with two modes switched in different conditions was implemented. In this implementation scheme, operating electric circuits are designed based on different working status of the actuator and power source. In the first stage an electromotor mode in which an active suspension system uses a linear electric actuator controlled by constrained PID controller. In the generator mode, under certain circumstances using linear motor as actuators enables to transform mechanical energy of the car vibrations to electrical energy and accumulated to charge the energy-storage capacitor and fed back into the power source when needed.Keywords
Active Suspension, Quarter Car, Linear Actuator, PID Controller, Electromotor Mode, Generator Mode.References
- B. Gao, J. Darling, D.G. Tilley, R.A. Williams, A. Bean and J. Donahue. 2006. Control of a hydro-pneumatic active suspension based on a non-linear quarter-car model, IMechE Int. J. Systems and Control Engg., 220(1), 15-31.
- J. Lin, R.J. Lian, C.N. Huang and W.T. Sie. 2009. Enhanced fuzzy sliding mode controller for active suspension systems, Mechatronics, 19, 1178-1190 https://doi.org/10.1016/j.mechatronics.2009.03.009.
- G. Koch, S. Spirk, E. Pellegrini, N. Pletschen and B. Lohmann. 2011. Experimental validation of a new adaptive control approach for a hybrid suspension system, American Control Conf., 4580-4585. https://doi.org/10.1109/ACC.2011.5991450.
- D. Fischer and R. Isermann. 2004. Mechatronic semiactive and active vehicle suspensions, Control Engg. Practice, 12, 1353-1367.
- R. Rajamani. 2012. Vehicle Dynamics and Control, 2nd Edn. https://doi.org/10.1007/978-1-4614-1433-9.
- I. Maciejewski. 2012. Control system design of active seat suspensions, J Sound Vib., 331, 1291-1309. https://doi.org/10.1016/j.jsv.2011.11.010.
- S.K. Sharma and A. Kumar. 2017. Ride performance of a high speed rail vehicle using controlled semi active suspension system, Smart Materials and Structures, 26(5), 55026. https://doi.org/10.1088/1361-665X/aa68f7.
- B.T. Fijalkowski. 2011. Automotive mechatronics: operational and practical in intelligent systems, control and automation: Sci. and Engg., 52(2).
- S. Lee and W.J. Kim. 2010. Active suspension control with direct-drive tubular linear brushless permanent magnet motor, IEEE Transactions on Control Systems Tech., 18(4), 859-870. https://doi.org/10.1109/TCST.2009.2030413.
- A. Kruczek, A. Stříbrský, J. Honců and M. Hlinovský. 2009. Controller choice for car active suspension, Int. J. Mechanics, 3(4), 61-68.
- Hyniova. K 2014. On experimental verification of vehicle active suspension robust control, Latest Trends on Systems, 1, 353-358.
- A. Stribrsky and K. Hyniova. 2007. Energy recuperation in automotive active suspension systems with linear electric motor, Proc. Mediterranean Conf. on Control and Automation, 1-5.
- K. Hyniova, A. Stribrsky, J. Honcu and A. Kruczek. 2009. Active suspension system - energy control, IFAC Proc., 42(19), 146-152.
- P. Sathishkumar, J. Jancirani and J.D. John. 2014. Reduction of axis acceleration of quarter car suspension using pneumatic actuator and active force control technique, J. Vib., Engg., 16 (3).
- P. Sathishkumar, J. Jancirani and D. John. 2014. Reducing the seat vibration of vehicle by semi active force control technique, J. Mech. Sci. and Tech, 28 (2), 473-479.
- R.C. Sharma. 2016. Evaluation of passenger ride comfort of Indian rail and road vehicles with ISO 2631-1 standards: Part 1 - Mathematical modelling, Int. J. Vehicle Structures and Systems, 8(1), 1-6. https://doi.org/10.4273/ijvss.8.1.01.
- R.C. Sharma. 2016. Evaluation of passenger ride comfort of Indian rail and road vehicles with ISO 2631-1 standards: Part 2 - Simulation, Int. J. Vehicle Structures and Systems, 8(1), 7-10. https://doi.org/10.4273/ijvss.8.1.02.
- J. Jancirani, P. Senthilkumar, M. Eltantawie and D. John. 2015. Comparison of air spring actuator and electrohydraulic actuator in suspension system, Int. J. Vehicle Structures and Systems, 7(1), 36-39. http://dx.doi.org/10.4273/ijvss.7.1.07.
- R.C. Sharma. 2017. Ride, eigenvalue and stability analysis of three-wheel vehicle using Lagrangian dynamics, Int. J. Vehicle Noise and Vibration, 13(1), 13-25. https://doi.org/10.1504/IJVNV.2017.086021.
- S.K. Mouleeswaran 2012. Design and development of PID controller-based active suspension system for automobiles, PID Controller Design Approaches-Theory, Tuning and Application to Frontier Areas, 71-98. https://doi.org/10.5772/32611.
- Programmable Logic Controller based Monitoring System for Oil Filling of Heavy Vehicle Rear Axle Assembly
Abstract Views :206 |
PDF Views:90
Authors
Affiliations
1 Dept. of Mechatronics Engg., SRM Institute of Science and Tech., Kattankulathur, Tamilnadu, IN
2 Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, CN
1 Dept. of Mechatronics Engg., SRM Institute of Science and Tech., Kattankulathur, Tamilnadu, IN
2 Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, CN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 3 (2018), Pagination: 223-225Abstract
In the chassis assembly shop, there are instances when the rear axle oil was not filled. During the period from January to December, there were ten such instances that were reported. Out of the 10 cases, 6 cases seized after handing over the vehicle to the customer and 4 cases were identified when the vehicles left the assembly process. The reason for the seizing of the trucks was predominantly due to the absence of the oil in the rear axle or in some cases, due to the discrepancy that occurred. This problem can be rectified by introducing the concept of interlocking, wherein the conveyor stops from proceeding to the next stage in case the rear axle oil is not filled. To prevent any further chances of error, a system was suggested where a code is scanned, which gives details of the bill of materials used to assemble the truck. This bill of material includes the axle model number which is cross referenced with a traceability matrix to determine the quantity of oil required and confirming the oil filling process with a sticker.Keywords
Programmable Logic Controller, Rear Axle, Inspection, Oil Filling, Interlocking, Truck, Seizing .References
- S. Bennett and I.A. Norman. 2010. Heavy Duty Truck Systems, 5th Edition, Delmar Pub.
- C.D. Johnson. 2006. Process Control Instrumentation Tech., Prentice Hall.
- S. Chitra and V. Raghavan. 2014. Conveyor control using programmable logic controller, Int. J. Adv. in Research & Tech., 3(8), 25-31.
- L. Guoand and R. Pecen. 2008. Design projects in a programmable logic controller (PLC), Proc. ASEE Annual Conf.& Exposition, Pittsburgh, USA.
- G. Yang and Y. Rasis. 2003. Teaching PLC in automation: A case study, Proc. ASEE Annual Conference & Exposition, Nashville, USA.
- F.D. Petruzella. 2005. Programmable Logic Controllers, McGraw Hill.
- R.C. Palmer. 2007. The Bar Code Book: A Comprehensive Guide to Reading, Printing, Specifying, Evaluating, and Using Bar Code and Other Machine-readable Symbols, 5th Edition, Trafford Publishing