Computational Methods in Mechanical Systems: Mechanism by Jorge Angeles (auth.), Jorge Angeles, Evtim Zakhariev (eds.)

By Jorge Angeles (auth.), Jorge Angeles, Evtim Zakhariev (eds.)

The chapters of this booklet summarize the lectures brought du ring the NATO complex learn Institute (ASI) on Computational equipment in Mechanisms, that came about within the Sts. Constantin and Elena hotel, close to Varna, at the Bulgarian Coast of the Black Sea, June 16-28, 1997. the aim of the ASI was once to compile major researchers within the sector of mechanical structures at huge, with distinct emphasis within the computational matters round their research, synthesis, and optimization, in the course of weeks of lectures and dialogue. a complete of 89 members from 23 count number ries performed an energetic position in the course of the lectures and periods of contributed papers. the various latter are being presently reviewed for e-book in really expert journals. the topic of the e-book is mechanical platforms, Le. , platforms composed of inflexible and versatile our bodies, coupled by means of mechanical ability on the way to constrain their a variety of our bodies in a goal-oriented demeanour, frequently pushed lower than machine con­ trol. functions of the self-discipline are hence of the main diversified nature, starting from transportation platforms to biomedical units. U nder common operation stipulations, the constitutive our bodies of a mechanical method might be consid­ ered to be inflexible, the stress estate then easing dramatically the research of the kinematics and dynamics of the process handy. Examples of those structures are the suspension of a terrestrial automobile negotiating a curve at speeds in the allowed or advised limits and the hyperlinks of multiaxis business robots appearing traditional pick-and-place operations.

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Extra info for Computational Methods in Mechanical Systems: Mechanism Analysis, Synthesis, and Optimization

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Resultant-based solution methods for 6-R inverse kinematics problems are capable of finding all 16 solutions to a general problem in 11 milliseconds on an IBM RSj6000 computer (Manocha and Canny 1994). This solution illustrates the greatest strength of resultant methods: computation time. If a resultant-based solution method can be found for a particular problem, it normally leads to much faster computation times than polynomial continuation or Gröbner basis methods. Resultant methods can also give greater insight into a problem than a purely numerical solution, as demonstrated by the work of Mavroidis and Roth (1995) in analyzing overconstrained mechanisms.

6. , p4 = Qpo +d . (72) and (73), we obtain (1 + VQ)d s = d , whence, d s = (1 + VQ)-ld . (74) An expression for the above inverse can be derived if we realize that this inverse is an analytic function of -v'Q, which is, in turn, an analytic function of Q. (22), the inverse sought must be a linear combination of the first three powers of E: EO == 1, E, and E 2 , namely, (75) where a, ß, and 'Y are to be determined. To this end, we write 24 (1 + VQ)(al + ßE + ')'E 2 ) = 1. , ds = ~ 2 -1 d 1 [ =2 sin( 4J/2) ] 1 - 1 + cos(4J/2) E d, [d - 1 +sin(4J/2) d] .

An example of this property may be found in Eqns. 1) for the inverse kinematics of a three-revolute joint serial mechanism in the plane. 15) This equation is already a univariate equation in 82 , so solving it will give all values of 82 for which a solution to the original system of equations exists. Notice that despite having squared and added the original equations, the simplified equation is linear in cos 82 , as are Eqns. 14). No new power products were created. Resultant methods have also been used extensively for the analysis of in-parallel mechanisms.

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