Adams

Adams Multibody Dynamics Simulation. Adams is the most widely used multibody dynamics and motion analysis software in the world. Adams helps engineers to study the dynamics of moving parts, how loads and forces are distributed throughout mechanical systems, and to improve and optimize the performance of their products. Traditional ”build and test” design methods are expensive, time consuming, and impossible to do sometimes. CAD-based tools help to evaluate things like interference between parts, and basic kinematic motion, but neglect the true physics-based dynamics of complex mechanical systems. FEA is suited for studying linear vibration and transient dynamics, but inefficient at analyzing large rotations and other highly nonlinear motion of full mechanical systems. Adams multibody dynamics software enables engineers to easily create and test virtual prototypes of mechanical systems in a fraction of the time and cost required for physical build and test. Unlike most CAD embedded tools, Adams incorporates real physics by simultaneously solving equations for kinematics, statics, quasi-statics, and dynamics. Utilizing multibody dynamics solution technology, Adams runs nonlinear dynamics in a fraction of the time required by FEA solutions. Loads and forces computed by Adams simulations improve the accuracy of FEA by providing better assessment of how they vary throughout a full range of motion and operating environments. Optional modules available with Adams allow users to integrate mechanical components, pneumatics, hydraulics, electronics, and control systems technologies to build and test virtual prototypes that accurately account for the interactions between these subsystems.


References in zbMATH (referenced in 46 articles )

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  1. Potosakis, N.; Paraskevopoulos, E.; Natsiavas, S.: Application of an augmented Lagrangian approach to multibody systems with equality motion constraints (2020)
  2. Wang, Pingxin; Yu, Hailong; Rui, Xiaoting; Zhang, Jianshu; Gu, Junjie: Transversal vibration analysis of the upper span of nonlinear closed-loop track systems (2020)
  3. Chen, Xiulong; Jiang, Shuai; Wang, Suyu; Deng, Yu: Dynamics analysis of planar multi-DOF mechanism with multiple revolute clearances and chaos identification of revolute clearance joints (2019)
  4. Chung, Yun-Chi; Wu, Yu-Ren: Dynamic modeling of a gear transmission system containing damping particles using coupled multi-body dynamics and discrete element method (2019)
  5. Erkaya, Selçuk: Determining power consumption using neural model in multibody systems with clearance and flexible joints (2019)
  6. Escalera, Juan A.; Abu-Dakka, Fares J.; Abderrahim, Mohamed: Symbolic geometric modelling of tree-structure robotic mechanisms using Lie groups and graph theory (2018)
  7. Hashemnia, Saeed; Panahi, Masoud Shariat; Mahjoob, Mohammad: Continuous-action XCSR with dynamic reward assignment dedicated to control of black-box mechanical systems (2018)
  8. Mo, Shuai; Zhang, Ting; Jin, Guoguang; Feng, Zhanyong; Gong, Jiabei; Zhu, Shengping: Dynamic characteristics and load sharing of herringbone wind power gearbox (2018)
  9. Safa, Ali Tehrani; Mohammadi, Somaye; Naraghi, Mahyar; Alasty, Aria: Stability improvement of a dynamic walking system via reversible switching surfaces (2018)
  10. Tromme, Emmanuel; Held, Alexander; Duysinx, Pierre; Brüls, Olivier: System-based approaches for structural optimization of flexible mechanisms (2018)
  11. Kanchwala, Husain; Chatterjee, Anindya: A generalized quarter car modelling approach with frame flexibility and other nonlocal effects (2017)
  12. Liu, Xiaofeng; Wang, Qisuai; Li, Haiquan; Cai, Guoping: Dynamics and control of variable geometry truss manipulator (2017)
  13. Stadlmayr, Daniel; Witteveen, Wolfgang; Steiner, Wolfgang: A generalized constraint reduction method for reduced order MBS models (2017)
  14. Na, Qi; Han, Baoling; Li, Huashi; Luo, Qingsheng; Jia, Yan: Continuous and smooth gait transition in a quadruped robot based on CPG (2016)
  15. Pennestrì, Ettore; Rossi, Valerio; Salvini, Pietro; Valentini, Pier Paolo: Review and comparison of dry friction force models (2016)
  16. Ferretti, Gianni; Leva, Alberto; Scaglioni, Bruno: Object-oriented modelling of general flexible multibody systems (2014)
  17. Zarafshan, P.; Moosavian, S. Ali A.: Dynamics modelling and hybrid suppression control of space robots performing cooperative object manipulation (2013)
  18. Yudakov, A. A.: Principles of flexible body general dynamic equations derivation based on the Craig-Bampton model and of their practically significant approximations (2012)
  19. Zarafshan, Payam; Moosavian, S. Ali A.: Rigid-flexible interactive dynamics modelling approach (2012)
  20. Czop, Piotr; Mendrok, Krzysztof; Uhl, Tadeusz: Application of inverse linear parametric models in the identification of rail track irregularities (2011)

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