Optimization of Production Planning for a Flexible Assembly Technology on a Mechatronics Line

Duca, Octavian; Bidica, Claudiu; Minca, Eugénia; Gurgu, Ion Valentin; Paun, Marius; Dragomir, Florin

doi:10.24846/v30i1y202105

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here the relative minimum means square error Q is used to measure the deviation between the fitted line and the input point set. The expression of the relative minimum means square error Q is in equation (2).…”

Section: Terminal Head Angle Adjustmentmentioning

confidence: 99%

“…But the pose of the terminal head will not be locked because of line flexibility, and the pose of the terminal head should be recognized by a sensor. 2 The terminal buckling needs not only accurate alignment but also needs moderate buckling force. Excessive buckling force will damage the components, and too small force will make buckling fail.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic buckling system of micro terminals combined vision and force signals

Jiang

Zhang

et al. 2023

Measurement and Control

View full text Add to dashboard Cite

Micro terminals are often used in every laptop, mobile, and other electrical product. It is challenging to automatically buckle the terminal head to its terminal base during manufacturing because of trouble in accurate positioning and gripping. A double-robots collaborative assembly system is developed to buckle millimeter-scale terminals in three-dimensional space. Robot 1 takes the terminal head horizontally by grasping its flexible line with a customized clamp, including two fingers. Robot 2 presses the aligned terminal head through a force control strategy to ensure that the terminal head and the terminal base can complete buckling accurately, even if there is a certain deviation in the vertical direction. There are two cameras to be used in the system. A horizontally placed camera is used to detect and calculate the angle between the terminal head and the horizontal plane. The angle data will drive robot 1 to make the terminal end face parallel to the horizontal plane to complete the pose correction of the terminal head. Another camera is vertically fixed at the end of industrial robot 1 and used to detect and calculate the position deviation between the terminal head and the terminal base. The position deviation will drive robot 1 to align the terminal head with the terminal base to complete the position correction. The YOLOv3, least square, and feature extraction algorithms are used in image processing. The accuracy of the YOLOv3 target detection model trained by self-made data set can reach more than 95% under different conditions. The detection period is within 65 ms. The experimental results show that the terminal assembly system designed in this paper has excellent reliability and assembly success rate. It also has a significant reference value for other terminals’ automatic buckling assemblies.

show abstract

Section: Terminal Head Angle Adjustmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%