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| Content Provider | Springer Nature Link |
|---|---|
| Author | Djerassi, Shlomo |
| Copyright Year | 2008 |
| Abstract | In Part B of this paper, planar collision theories, counterparts of the theory associated with Newton’s hypotheses described in Part A, are developed in connection with Poisson’s and Stronge’s hypotheses. First, expressions for the normal and tangential impulses, the normal and tangential velocities of separation, and the change of the system mechanical energy are written for five types of collision. These together with Routh’s semigraphical method and Coulomb’s coefficient of friction are used to show that the algebraic signs of the four parameters introduced in Part A span the same five cases of system configuration of Part A. For each, α determines the type of collision which once found allows the evaluation of the normal and tangential impulses and ultimately the changes in the motion variables. The analysis of the indicated cases shows that for Poisson’s hypothesis, a solution always exists which is unique, coherent and energy-consistent. The same applies to Stronge’s hypothesis, however, for a narrower range of application. It is thus concluded that Poisson’s hypothesis is superior as compared with Newton’s and Stronge’s hypotheses. |
| Starting Page | 55 |
| Ending Page | 70 |
| Page Count | 16 |
| File Format | |
| ISSN | 13845640 |
| Journal | Multibody System Dynamics |
| Volume Number | 21 |
| Issue Number | 1 |
| e-ISSN | 1573272X |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2008-09-19 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Collision Collision with friction Poison’s hypothesis Stronge’s hypothesis Routh’s graph Coulombs’ coefficient of friction Automotive Engineering Mechanical Engineering Electrical Engineering Optimization Vibration, Dynamical Systems, Control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Mechanical Engineering Aerospace Engineering Modeling and Simulation Computer Science Applications |
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