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 29 articles )

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  1. Na, Qi; Han, Baoling; Li, Huashi; Luo, Qingsheng; Jia, Yan: Continuous and smooth gait transition in a quadruped robot based on CPG (2016)
  2. Pennestrì, Ettore; Rossi, Valerio; Salvini, Pietro; Valentini, Pier Paolo: Review and comparison of dry friction force models (2016)
  3. Zarafshan, P.; Moosavian, S.Ali A.: Dynamics modelling and hybrid suppression control of space robots performing cooperative object manipulation (2013)
  4. Yudakov, A.A.: Principles of flexible body general dynamic equations derivation based on the Craig-Bampton model and of their practically significant approximations (2012)
  5. Zarafshan, Payam; Moosavian, S.Ali A.: Rigid-flexible interactive dynamics modelling approach (2012)
  6. Czop, Piotr; Mendrok, Krzysztof; Uhl, Tadeusz: Application of inverse linear parametric models in the identification of rail track irregularities (2011)
  7. Gallardo-Alvarado, Jaime; Ramírez-Agundis, Agustín; Rojas-Garduño, Héctor; Arroyo-Ramírez, Benjamín: Kinematics of an asymmetrical three-legged parallel manipulator by means of the screw theory (2010)
  8. Heckmann, Andreas: On the choice of boundary conditions for mode shapes in flexible multibody systems (2010)
  9. Lenain, Roland; Thuilot, Benoit; Cariou, Christophe; Martinet, Philippe: Mixed kinematic and dynamic sideslip angle observer for accurate control of fast off-road mobile robots (2010)
  10. Rong, Bao; Rui, Xiaoting; Wang, Guoping; Yang, Fufeng: New efficient method for dynamic modeling and simulation of flexible multibody systems moving in plane (2010)
  11. Blekta, Jiri; Mevald, Josef; Petrikova, Iva: Evaluation of spatial vibrations using a platform with 6 degrees of freedom (2009)
  12. Erkaya, Selçuk; Uzmay, Ibrahim: Optimization of transmission angle for slider-crank mechanism with joint clearances (2009) ioport
  13. Erkaya, Selçuk; Uzmay, İbrahim: Determining link parameters using genetic algorithm in mechanisms with joint clearance (2009)
  14. Erkaya, Selçuk; Uzmay, İbrahim: Investigation on effect of joint clearance on dynamics of four-bar mechanism (2009)
  15. Ming, Zhang; Hong, Nie; Xiao-Hui, Wei; Xiaomei, Qian; Enzhi, Zhou: Modeling and simulation of aircraft anti-skid braking and steering using co-simulation method (2009)
  16. Thoresson, M.J.; Uys, P.E.; Els, P.S.; Snyman, J.A.: Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. I: mathematical modelling (2009)
  17. Thoresson, M.J.; Uys, P.E.; Els, P.S.; Snyman, J.A.: Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. II: optimisation results (2009)
  18. Yilmaz, Yasin; Anlas, Gunay: An investigation of the effect of counterweight configuration on main bearing load and crankshaft bending stress (2009)
  19. Zhang, Heming: A solution of multidisciplinary collaborative simulation for complex engineering systems in a distributed heterogeneous environment (2009)
  20. Speckert, M.; Dreßler, K.: Simulation and optimization of suspension testing systems (2008)

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