Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896486088> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2896486088 abstract "In this paper we present a design methodology for a bicondylar joint that mimics many of the physical mechanisms in the human knee. We replicate the elastic ligaments and sliding and rolling joint surfaces. As a result the centre of rotation and moment arm from the quadriceps changes as a function of flexion angle in a similar way to the human knee. This leads to a larger moment arm in the centre of motion, where it is most needed for high load tasks, and a smaller moment arm at the extremes, reducing the required actuator displacement. This is anticipated to improve performance:weight ratio in legged devices for tasks such as stair accent and sit-to-stand. In the design process ligament attachment positions, femur profile and ligament lengths were taken from cadaver studies. This information was then used as inputs to a simplified kinematic computer model in order to design a valid profile for a tibial condyle. A physical model was then tested on a custom built squatting robot. It was found that although ligament lengths deviated from the designed values the robot moment arm still matched the model to within 6.1% on average. This shows that the simplified model is an effective design tool for this type of joint. It is anticipated that this design, when employed in walking robots, prostheses or exoskeletons, will improve the high load task capability of these devices. In this paper we have outlined and validated a design method to begin to achieve this goal." @default.
- W2896486088 created "2018-10-26" @default.
- W2896486088 creator A5026333465 @default.
- W2896486088 creator A5043916064 @default.
- W2896486088 creator A5084876496 @default.
- W2896486088 date "2018-08-01" @default.
- W2896486088 modified "2023-09-25" @default.
- W2896486088 title "A Kinematic Model for the Design of a Bicondylar Mechanical Knee" @default.
- W2896486088 cites W130027914 @default.
- W2896486088 cites W1979445726 @default.
- W2896486088 cites W1979526472 @default.
- W2896486088 cites W1981717102 @default.
- W2896486088 cites W1995445209 @default.
- W2896486088 cites W1996763811 @default.
- W2896486088 cites W1997437502 @default.
- W2896486088 cites W2026287658 @default.
- W2896486088 cites W2034169178 @default.
- W2896486088 cites W2038440316 @default.
- W2896486088 cites W2042387866 @default.
- W2896486088 cites W2047240171 @default.
- W2896486088 cites W2065366735 @default.
- W2896486088 cites W2072998752 @default.
- W2896486088 cites W2074502084 @default.
- W2896486088 cites W2074631385 @default.
- W2896486088 cites W2075895030 @default.
- W2896486088 cites W2083261332 @default.
- W2896486088 cites W2087864505 @default.
- W2896486088 cites W2088975035 @default.
- W2896486088 cites W2138552271 @default.
- W2896486088 cites W2163668399 @default.
- W2896486088 cites W2564069747 @default.
- W2896486088 cites W2744188771 @default.
- W2896486088 cites W4231228358 @default.
- W2896486088 doi "https://doi.org/10.1109/biorob.2018.8487734" @default.
- W2896486088 hasPublicationYear "2018" @default.
- W2896486088 type Work @default.
- W2896486088 sameAs 2896486088 @default.
- W2896486088 citedByCount "9" @default.
- W2896486088 countsByYear W28964860882019 @default.
- W2896486088 countsByYear W28964860882020 @default.
- W2896486088 countsByYear W28964860882021 @default.
- W2896486088 countsByYear W28964860882022 @default.
- W2896486088 crossrefType "proceedings-article" @default.
- W2896486088 hasAuthorship W2896486088A5026333465 @default.
- W2896486088 hasAuthorship W2896486088A5043916064 @default.
- W2896486088 hasAuthorship W2896486088A5084876496 @default.
- W2896486088 hasBestOaLocation W28964860882 @default.
- W2896486088 hasConcept C121332964 @default.
- W2896486088 hasConcept C127413603 @default.
- W2896486088 hasConcept C171146098 @default.
- W2896486088 hasConcept C39920418 @default.
- W2896486088 hasConcept C41008148 @default.
- W2896486088 hasConcept C74650414 @default.
- W2896486088 hasConceptScore W2896486088C121332964 @default.
- W2896486088 hasConceptScore W2896486088C127413603 @default.
- W2896486088 hasConceptScore W2896486088C171146098 @default.
- W2896486088 hasConceptScore W2896486088C39920418 @default.
- W2896486088 hasConceptScore W2896486088C41008148 @default.
- W2896486088 hasConceptScore W2896486088C74650414 @default.
- W2896486088 hasLocation W28964860881 @default.
- W2896486088 hasLocation W28964860882 @default.
- W2896486088 hasOpenAccess W2896486088 @default.
- W2896486088 hasPrimaryLocation W28964860881 @default.
- W2896486088 hasRelatedWork W122584421 @default.
- W2896486088 hasRelatedWork W2008194241 @default.
- W2896486088 hasRelatedWork W2066693961 @default.
- W2896486088 hasRelatedWork W2351643838 @default.
- W2896486088 hasRelatedWork W2368363778 @default.
- W2896486088 hasRelatedWork W2748952813 @default.
- W2896486088 hasRelatedWork W2753351751 @default.
- W2896486088 hasRelatedWork W2789522126 @default.
- W2896486088 hasRelatedWork W2889348933 @default.
- W2896486088 hasRelatedWork W2899084033 @default.
- W2896486088 isParatext "false" @default.
- W2896486088 isRetracted "false" @default.
- W2896486088 magId "2896486088" @default.
- W2896486088 workType "article" @default.