Found: 14
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RESEARCH ON INNER SURFACE OF HYDROFORMED TUBES.
- Published in:
- Advances in Science & Technology Research Journal, 2017, v. 11, n. 4, p. 311, doi. 10.12913/22998624/80900
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- Article
A COMPARATIVE STUDY USING FINITE ELEMENT ANALYSES FOR CERVICAL DISC IMPLANTS.
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- Academic Journal of Manufacturing Engineering, 2020, v. 18, n. 2, p. 5
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- Article
IMPROVING THE QUALITY OF THE PARTS MADE BY RAPID METAL CASTING PROCESS.
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- Academic Journal of Manufacturing Engineering, 2014, v. 12, n. 1, p. 82
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- Article
Diagnostics of CNC machine tool with R-Test system.
- Published in:
- Academic Journal of Manufacturing Engineering, 2014, v. 12, n. 1, p. 52
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- Article
CALIBRATION OF 5 AXIS CNC MACHINE TOOL WITH 3D QUICKSET MEASUREMENT SYSTEM.
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- Academic Journal of Manufacturing Engineering, 2014, v. 12, n. 1, p. 20
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- Article
Numerical simulation of the tube bending process and validation of the results.
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- Academic Journal of Manufacturing Engineering, 2011, v. 9, n. 3, p. 32
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- Article
DEVELOPING A NEW PROGRAM TO CALCULATE THE OPTIMUM WATER JET CUTTING PARAMETERS.
- Published in:
- Academic Journal of Manufacturing Engineering, 2011, v. 9, n. 3, p. 16
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- Article
Influence of Coolant Properties and Chip Former Geometry on Tool Life in Deep Drilling.
- Published in:
- Applied Sciences (2076-3417), 2023, v. 13, n. 14, p. 8360, doi. 10.3390/app13148360
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- Article
INDUSTRIAL AUTOMATION IN THE RELATIVE SPIRAL FEED AND CONTACT CONTOUR DURING COLD ORBITAL DEFORMATION.
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- Quality - Access to Success, 2012, p. 367
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- Article
QUALITY OF BENDING ALUMINIUM TUBES AT 45°.
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- Quality - Access to Success, 2012, p. 315
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- Article
Artificial Neural Network-Based Predictive Model for Finite Element Analysis of Additive-Manufactured Components.
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- Machines, 2023, v. 11, n. 5, p. 547, doi. 10.3390/machines11050547
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- Article
Research into the Impact of Spindle Speed and Feed Rate Changes on the Life of a Deep-Drilling Technology Tool.
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- Machines, 2022, v. 10, n. 4, p. N.PAG, doi. 10.3390/machines10040268
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- Article
Feasibility of Predictive Models for the Quality of Additive Manufactured Components Based on Artificial Neural Networks.
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- Machines, 2022, v. 10, n. 2, p. N.PAG, doi. 10.3390/machines10020128
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- Publication type:
- Article
Artificial Neural Networks Model for Springback Prediction in the Bending Operations.
- Published in:
- Technical Gazette / Tehnički Vjesnik, 2020, v. 27, n. 3, p. 868, doi. 10.17559/TV-20141209182117
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- Article