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Characterization of the Machine Behavior During Hollow Embossing Rolling of Metallic Bipolar Half Plates

open access: yesJournal of Machine Engineering, 2023
The hollow embossing rolling of thin-walled high precision components like metallic bipolar half plates is characterized by narrow process windows. Here, the knowledge of interaction between forming machine, roll and process is crucial for the process ...
Martin Wagner   +5 more
doaj   +1 more source

Spring-Back Characteristics on Bent Holed Parts in V-Die Bending Process

open access: yesAdvances in Materials Science and Engineering, 2022
In recent years, the bending of holed blank to fabricate the bent holed parts has been increasingly applied in almost all industrial fields and they also need much more complexity in shaped part and precision in dimensions. However, most of past research
Sutasn Thipprakmas, Arkarapon Sontamino
doaj   +1 more source

Estimation of External Force-Torque Vector Based on Double Encoders of Industrial Robots Using a Hybrid Gaussian Process Regression and Joint Stiffness Model

open access: yesJournal of Machine Engineering, 2023
Industrial robots are increasingly used in industry for contact-based manufacturing processes such as milling and forming. In order to meet part tolerances, it is mandatory to compensate tool deflections caused by the external force-torque vector ...
Eckart Uhlmann   +2 more
doaj   +1 more source

Transforming Land Administration Practices through the Application of Fit-For-Purpose Technologies: Country Case Studies in Africa

open access: yesLand, 2021
Access to land for many people in Africa is insecure and continues to pose risks to poverty, hunger, forced evictions, and social conflicts. The delivery of land tenure in many cases has not been adequately addressed.
Danilo Antonio   +3 more
doaj   +1 more source

Potential of Tool Clamping Surfaces in Forming Machines for Cognitive Production

open access: yesJournal of Machine Engineering, 2022
High reproducibility of forming processes along with high quality expectations of the resulting formed parts demand cognitive production systems. The prerequisite is process transparency, which can be improved by increased knowledge of interdependencies ...
Mohaned Alaluss   +5 more
doaj   +1 more source

Hardness relationship between eNM3A10 and conventional hardness scales

open access: yesMeasurement: Sensors, 2021
Small ball rebound hardness eNM3A10 is a next-generation rebound hardness test with features not existing in conventional rebound hardness tests: reduced mass effect of hardness and satisfying the similarity rule of hardness (Minimum thickness of steel ...
Takashi Yamamoto   +2 more
doaj   +1 more source

Effect of entry sheet on hole position accuracy when drilling of printed circuit boards

open access: yesNihon Kikai Gakkai ronbunshu, 2017
Recently, the diameter of through hole on printed circuit board (PCB) has become smaller with downsizing of electric devices. However, the drilling small diameter through hole includes some problems such as hole position accuracy and hole bending.
Hiromi YOSHIMURA   +3 more
doaj   +1 more source

Study on chip removal mechanism of PCD ball-end milling (1st report) cutting simulation by orthogonal cutting

open access: yesProduction and Manufacturing Research: An Open Access Journal, 2020
A polycrystalline diamond (PCD) ball-end mill is effective for processing molds made of hard and brittle materials, such as cemented carbide and ceramics and having fine and complex shapes with a high aspect ratio. The PCD ball-end mill has a distinctive
Peerapong Kasuriya   +3 more
doaj   +1 more source

Economic operation of China's superhard industry in the first half of 2022

open access: yesJin'gangshi yu moliao moju gongcheng, 2022
Based on the Purchasing Managers' Index, the relevant data of the superhard material industry, the import and the export data of superhard commodities of China Customs, and the import data of United States and Japan Customs, 6 tables and 8 charts are ...
Lijuan LI   +6 more
doaj   +1 more source

Reliability Prediction for Computer Numerical Control Machine Servo Systems Based on an IPSO-Based RBF Neural Network

open access: yesShock and Vibration, 2022
The increasing use of computer numerical control (CNC) machines requires better prediction of the reliability of their servo control systems. A novel reliability prediction model based on radial basis function (RBF) neural network optimized by improved ...
Zheng Jiang   +4 more
doaj   +1 more source

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