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THE CONCLUSION

The basic results of work.

1. On the basis of the spent survey and the analysis of methods of diagnosing of a functional condition tribouzla (on an instance endoproteza tazobedrennogo a joint with pair a friction "metal-metal"), in the capacity of optimum for a task in view the electroresistance method is chosen.

Survey of the test cars, allowing to size up a workmanship endoprotezov large joints, has revealed necessity of working out of a diagnostic device of a condition of surfaces endoproteza tazobedrennogo a joint with pair a friction "metal-metal" at stages of the target control, triboispytany and experimental researches.

2. The mathematical model is developed, allowing to simulate a signal of electric resistance of co-operating components of a head and a cup endoproteza taking into account their real both modelled macro-and microgeometry of surfaces; theoretical researches of the planimetric square of contact of electric resistance depending on parametres of defect of surfaces are carried out. Changes of the general resistance of contact in a time are proved at agency on tribosoprjazhenie external and internal factors (loading on implantat, roughnesses, presence of adhesive layers etc.).

3. Theoretical dependences of parametres of process of conductance of a zone the friction characterising the planimetric square of contact depending on parametres of local defects, rapprochements of surfaces, average actual pressure, electric resistance of contact and others are gained.

4. The method of diagnosing of a condition of surfaces tribouzla, based on original algorithm of a data handling from a zone of a friction of surfaces tribosoprjazhenija, switching on a head and a cup endoproteza with pair a friction "metal-metal" is developed; are synthesised new (differential parametre S) and known (average resistance Rи factor of correlation Pirsona k) the diagnostic parametres which are based on a statistical estimation
Selective it is low - also mid-frequency power components of the signal, based on a physical principle of electric reception of the inertialess diagnostic information from a zone of a friction and allowing to interpret a condition of surfaces tribouzla; the original algorithm and a diagnosing technique tribouzla with the spherical form of details are developed.

5. The condition diagnostic device tribouzla endoproteza tazobedrennogo a joint, based on application of original algorithm of a data handling, with the set technical datas (speed of twirl of a head endoproteza is developed at the forced tests ω = 600 rpm, a range of amplitude of a diagnostic current I = 10 ma, controllable loading on endoprotez F =100. 5000).

6. The experimental researches confirming working capacity diagnostics tools (the relation a current source signal/noise - 77 db, the electric channel of measurement - 58 db, 2 channel ATSP - 85 db, an effective range of frequencies without loss of an informative component of a signal - 300 kgts, a lapse of stabilisation of an electric current over the range resistance R ∈ [1 are spent. 10J the Ohm in the current source has made 4 %).

7. The estimation of reliability of an electroresistance quality monitoring of a condition tribouzla in dynamics at stages of the target control is spent, triboispytany and experimental researches on selection of new materials taking into account the factors defining quality of surfaces which has made probability of recognition of installation with defect above 0,98; the divergence between theoretical and experimental dependences has made less than 8 % that is comprehensible and authentic result for creation of a method of diagnosing on their basis.

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Scientific source ZHIDKOV Alexey Vladimirovich. the ELECTRORESISTANCE METHOD And the DIAGNOSTIC DEVICE tribouzla with the spherical form of details (ON an instance endoproteza tazobedrennogo a joint with friction pair «metal - metal»). The dissertation on competition of a scientific degree of a Cand.Tech.Sci. An eagle, 2019. 2019

Other medical related information THE CONCLUSION:

  1. THE CONCLUSION
  2. THE CONCLUSION
  3. CONCLUSIONS
  4. THE CONCLUSION
  5. Conclusions under chapter 1
  6. Conclusions under chapter 4
  7. Conclusions of the fourth section
  8. Conclusions of the third section
  9. Conclusions of the fourth section
  10. Conclusions of the second section
  11. Conclusions under Chapter 3
  12. Conclusions under Chapter 1
  13. Conclusions under chapter 3
  14. the Conclusion
  15. Conclusions under chapter 3