Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping Systems
Vacuum-based handling, used in many applications and industries, offers great flexibility and fast handling processes. However, due to significant energy conversion losses from electrical energy to the useable suction flow, vacuum-based handling is highly energy-inefficient. In preliminary work, we...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/9/8/149 |
id |
doaj-eccf65e3f3ff4a939dcf42440399ea25 |
---|---|
record_format |
Article |
spelling |
doaj-eccf65e3f3ff4a939dcf42440399ea252021-08-26T13:59:33ZengMDPI AGMachines2075-17022021-07-01914914910.3390/machines9080149Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping SystemsFelix Gabriel0Susanna Baars1Martin Römer2Klaus Dröder3Institute of Machine Tools and Production Technology, Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, GermanyInstitute of Machine Tools and Production Technology, Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, GermanyInstitute of Machine Tools and Production Technology, Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, GermanyInstitute of Machine Tools and Production Technology, Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, GermanyVacuum-based handling, used in many applications and industries, offers great flexibility and fast handling processes. However, due to significant energy conversion losses from electrical energy to the useable suction flow, vacuum-based handling is highly energy-inefficient. In preliminary work, we showed that our grasp optimization method offers the potential to save at least 50% of energy by a targeted placement of individual suction cups on the part to be handled. By considering the leakage between gripper and object, this paper aims to extend the grasp optimization method by predicting the effective compressed air consumption depending on object surface roughness, gripper diameter and gripper count. Through balancing of the target pressure difference and the leakage tolerance in combination with the gripper count and gripper diameter, significant reductions of the compressed air, use and therefore the overall energy consumption, can be achieved. With knowledge about the gripper-specific leakage behavior, in the future it will be straightforward for system integrators to minimize the need for oversizing due to process-related uncertainties and therefore to provide application-specific and energy-optimized handling solutions to their customers.https://www.mdpi.com/2075-1702/9/8/149vacuum-based handlingenergy-efficiencyautomationmodelingoptimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Felix Gabriel Susanna Baars Martin Römer Klaus Dröder |
spellingShingle |
Felix Gabriel Susanna Baars Martin Römer Klaus Dröder Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping Systems Machines vacuum-based handling energy-efficiency automation modeling optimization |
author_facet |
Felix Gabriel Susanna Baars Martin Römer Klaus Dröder |
author_sort |
Felix Gabriel |
title |
Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping Systems |
title_short |
Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping Systems |
title_full |
Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping Systems |
title_fullStr |
Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping Systems |
title_full_unstemmed |
Grasp Point Optimization and Leakage-Compliant Dimensioning of Energy-Efficient Vacuum-Based Gripping Systems |
title_sort |
grasp point optimization and leakage-compliant dimensioning of energy-efficient vacuum-based gripping systems |
publisher |
MDPI AG |
series |
Machines |
issn |
2075-1702 |
publishDate |
2021-07-01 |
description |
Vacuum-based handling, used in many applications and industries, offers great flexibility and fast handling processes. However, due to significant energy conversion losses from electrical energy to the useable suction flow, vacuum-based handling is highly energy-inefficient. In preliminary work, we showed that our grasp optimization method offers the potential to save at least 50% of energy by a targeted placement of individual suction cups on the part to be handled. By considering the leakage between gripper and object, this paper aims to extend the grasp optimization method by predicting the effective compressed air consumption depending on object surface roughness, gripper diameter and gripper count. Through balancing of the target pressure difference and the leakage tolerance in combination with the gripper count and gripper diameter, significant reductions of the compressed air, use and therefore the overall energy consumption, can be achieved. With knowledge about the gripper-specific leakage behavior, in the future it will be straightforward for system integrators to minimize the need for oversizing due to process-related uncertainties and therefore to provide application-specific and energy-optimized handling solutions to their customers. |
topic |
vacuum-based handling energy-efficiency automation modeling optimization |
url |
https://www.mdpi.com/2075-1702/9/8/149 |
work_keys_str_mv |
AT felixgabriel grasppointoptimizationandleakagecompliantdimensioningofenergyefficientvacuumbasedgrippingsystems AT susannabaars grasppointoptimizationandleakagecompliantdimensioningofenergyefficientvacuumbasedgrippingsystems AT martinromer grasppointoptimizationandleakagecompliantdimensioningofenergyefficientvacuumbasedgrippingsystems AT klausdroder grasppointoptimizationandleakagecompliantdimensioningofenergyefficientvacuumbasedgrippingsystems |
_version_ |
1721192078452457472 |