Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Research on machining error prediction and compensation technology for a stone-carving robotic manipulator
by
Yin, Fang-Chen
, Ji, Qing-Zhi
, Wang, Cai-Zhi
in
Accuracy
/ Advanced manufacturing technologies
/ CAE) and Design
/ Compensation plans
/ Computer-Aided Engineering (CAD
/ Controllers
/ Deformation
/ Engineering
/ Error compensation
/ Error correction
/ Industrial and Production Engineering
/ Iterative methods
/ Lasers
/ Manipulators
/ Manufacturing
/ Mechanical Engineering
/ Media Management
/ Milling (machining)
/ Numerical controls
/ Original Article
/ Prediction models
/ Robot arms
/ Robotics
/ Robots
/ Sensors
/ Stiffness
/ Stone
/ Workpieces
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Research on machining error prediction and compensation technology for a stone-carving robotic manipulator
by
Yin, Fang-Chen
, Ji, Qing-Zhi
, Wang, Cai-Zhi
in
Accuracy
/ Advanced manufacturing technologies
/ CAE) and Design
/ Compensation plans
/ Computer-Aided Engineering (CAD
/ Controllers
/ Deformation
/ Engineering
/ Error compensation
/ Error correction
/ Industrial and Production Engineering
/ Iterative methods
/ Lasers
/ Manipulators
/ Manufacturing
/ Mechanical Engineering
/ Media Management
/ Milling (machining)
/ Numerical controls
/ Original Article
/ Prediction models
/ Robot arms
/ Robotics
/ Robots
/ Sensors
/ Stiffness
/ Stone
/ Workpieces
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Research on machining error prediction and compensation technology for a stone-carving robotic manipulator
by
Yin, Fang-Chen
, Ji, Qing-Zhi
, Wang, Cai-Zhi
in
Accuracy
/ Advanced manufacturing technologies
/ CAE) and Design
/ Compensation plans
/ Computer-Aided Engineering (CAD
/ Controllers
/ Deformation
/ Engineering
/ Error compensation
/ Error correction
/ Industrial and Production Engineering
/ Iterative methods
/ Lasers
/ Manipulators
/ Manufacturing
/ Mechanical Engineering
/ Media Management
/ Milling (machining)
/ Numerical controls
/ Original Article
/ Prediction models
/ Robot arms
/ Robotics
/ Robots
/ Sensors
/ Stiffness
/ Stone
/ Workpieces
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Research on machining error prediction and compensation technology for a stone-carving robotic manipulator
Journal Article
Research on machining error prediction and compensation technology for a stone-carving robotic manipulator
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Stone-carving robotic manipulators (SCRMs) have a broad range of applications due to their high efficiency, diverse processing capabilities, and strong flexibility. However, due to its weak rigidity, the milling accuracy of an SCRM is lower than that of a computer numerical control (CNC) machine for working stone into special shapes, making it difficult to meet the requirements of stone milling processing. To improve the milling accuracy of SCRMs, multi-iteration error compensation technology considering the coupling relationship between compensation and deformation is proposed in this paper. First, a global stiffness model of an SCRM in which the robot arm bars are regarded as flexible links is established, and the relationship between the milling force and milling depth is fitted based on a milling force prediction model. Then, the machining error and milling depth when processing a marble workpiece are predicted. Finally, a multi-iteration method is applied for calculation using an interval correction strategy to construct a discrete control system for error compensation in the SCRM. The feasibility and effectiveness of the proposed compensation technology are verified by an experiment using the KUKA-240-2900 SCRM system.
Publisher
Springer London,Springer Nature B.V
This website uses cookies to ensure you get the best experience on our website.