Rotation Calibration Method for Thrust Based on Force Error Analysis

Zhang, J.; Yu, Tian; Ren, Zhiyi; Han, Yu; Jia, Zhenyuan

doi:10.1007/s40799-018-0258-x

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Multicomponent dynamometers that have been pre-encapsulated and calibrated by producer can be used directly, such as Kistler 9257B [33]. For self-designed cutting force measurement system, accurate calibration and layout planning of dynamometers should be conducted to assure the measurement accuracy [34].…”

Section: Robot Machining and Process Controlmentioning

confidence: 99%

The Architecture, Methodology and Implementation of STEP-NC Compliant Closed-Loop Robot Machining System

Guo

et al. 2022

IEEE Access

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Industrial robots are gradually being employed in machining processes, particularly the cutting process, owing to their flexibility, mobility, and economic efficiency. However, it is difficult to make the manufacturing process intelligent owing to the complexity of robot machining process information handling and programming. In this paper, the architecture of a STEP-NC compliant closed-loop robot machining system was designed, including its function model and information stream. A methodology based on STEP-NC was established to enable the analysis of high-level information directly and automatically generating robot program according to the actual machining conditions. The STEP-NC Application Activity Model (AAM) and Application Reference Model (ARM) of closed-loop robot machining system is built to integrate the machining process data, monitoring and inspection data, mechanical equipment data, machining status data and inspection result data within a unified data flow, making it possible to realize intelligent manufacturing and adaptively adjusting the robot machining process. The proposed closed-loop robot machining system was implemented based on an open STEP-NC interpreter that interprets the high level information in STEP-NC directly to reduce machining robot programming time. An industrial camera was integrated with the robot for rawpiece positioning, then the STEP-NC interpreter can generate robot path rapidly according to the parameters of manufacturing features and position of rawpiece. The STEP-NC interpreter can generate a robot control program or communicate with a software controller using an application program interface, so it can be integrated with both existing industrial robot controllers and future open robot controllers. Finally, case studies are conducted for the functional verification of the proposed STEP-NC compliant closed-loop robot machining system.

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Section: Robot Machining and Process Controlmentioning

confidence: 99%

The Architecture, Methodology and Implementation of STEP-NC Compliant Closed-Loop Robot Machining System

Guo

et al. 2022

IEEE Access

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“…This approach enables architects to establish a good relationship between spatial form and structure during structural simulation, calculation, and optimization by analyzing structure stress characteristics in architectural design. Based on this, some specific structural form-finding methods were proposed, such as the force density method [ 2 ], dynamic relaxation method [ 3 ], a graphical method [ 4 ], and thrust grid analysis method [ 5 ]. Architectural design is gradually transforming to digital strategies with the continuous improvement in computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

Implementation and Optimization of Reverse Suspension Structure Design Model Using Deep Learning

Wang

Wang³

2022

Computational Intelligence and Neuroscience

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The present work aims to improve the design efficiency and optimize the results in the increasingly complex and diversified material design projects to help architects realize the better performance of building structures. According to the characteristics of comprehensive perception and intelligent processing of the Internet of Things, a reverse suspension structure design model is constructed based on the finite element method and simulated annealing algorithm. Besides, deep learning is adopted to train complex functions for performance correction and to optimize the plane structure of shell structure. Moreover, the force is transformed into shape, and the form-finding process is completed to facilitate the operation of designers. Finally, the spatial anchoring ability of the geographic information system is used to match and calculate the relevant characteristics of spatial elements. On this basis, the index construction strategy based on weight distribution is employed to realize the data fusion diagnosis framework and enhance the intelligence of architectural design. The simulation results show that the maximum tensile stress of the physical suspension experiment is 3.71 MPa and the maximum compressive stress is 14.7 MPa. The compressive stress value is much larger than the tensile stress value. The maximum deformation value’s difference between the compressive and tensile stress is 0.07 and 0.11, respectively. The error is within the acceptable range, which is similar to the compression state results obtained from the actual suspension physical experiment, indicating that the initial design model of the reverse suspension structure based on deep learning is reliable. In addition, the evolutionary optimization effect analysis results demonstrate that the load of the design structure is relatively uniform, which verifies the feasibility of the algorithm reported here. The research significance of the reverse suspension structure model constructed here is to provide an accurate and feasible design idea for the reverse design of some complex structures in the building suspension. It can also shorten the creation and improvement cycle of this kind of structure and optimize the performance and construction cycle of the building structure.

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Rotation Calibration Method for Thrust Based on Force Error Analysis

Cited by 2 publications

References 12 publications

The Architecture, Methodology and Implementation of STEP-NC Compliant Closed-Loop Robot Machining System

The Architecture, Methodology and Implementation of STEP-NC Compliant Closed-Loop Robot Machining System

Implementation and Optimization of Reverse Suspension Structure Design Model Using Deep Learning

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