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4th International Conference on Machining, Materials and Mechanical Technologies (IC3MT) [Mīkstie vāki]

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  • Formāts: Paperback / softback, 106 pages, height x width x depth: 240x170x5 mm, weight: 320 g, Illustrations
  • Izdošanas datums: 07-Mar-2024
  • Izdevniecība: Trans Tech Publications Ltd
  • ISBN-10: 3036404961
  • ISBN-13: 9783036404967
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 100,23 €
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  • Formāts: Paperback / softback, 106 pages, height x width x depth: 240x170x5 mm, weight: 320 g, Illustrations
  • Izdošanas datums: 07-Mar-2024
  • Izdevniecība: Trans Tech Publications Ltd
  • ISBN-10: 3036404961
  • ISBN-13: 9783036404967
Citas grāmatas par šo tēmu:
The edition includes articles that were presented at the 4th International Conference on Machining, Materials and Mechanical Technologies (IC3MT2022) which was held in Taipei, Taiwan, on November 11-14, 2022. Collected articles represent engineering research and design results in the area of tools for materials processing, technological machines and mechatronics. The publication will be helpful to many specialists in machinery.
Preface
Chapter 1: Tools and Machines Design
A Study on Prototype of End Mill for Ultra-High Pressure Coolant Supplying
from Flank Surface Side Using Fluid Simulation
Fatigue Analysis of Monopile Foundation for Offshore Wind Turbine
Mechanical Design Using Open-Source Software (Eigenvalue Analysis by
Parametric Study)
Relationship between Flow Field of Cutting Edge and Chip Dispersal during
CFRP Drilling
Chapter 2: Mechatronics
Development of a Hydrostatic Bearing in High Vacuum Using an Ionic Liquid for
a Semiconductor Fabrication Device
Numerical Investigation of Bearing Characteristics of a Hydrostatic Thrust
Bearing with a Flow-Control Restrictor Using a Bending Beam
Breakage Detection Based on the Breakage Mechanism of Small-Diameter Drills
Measurement Path Calculation Method for High-Precision On-Machine
Measurement
Swing up Control of the Pendubot with Restricted Actuator Movement Angle
Using Energy-Based Methods
Swing up Control of the Pendubot with Elbow Joint Extended Using Energy-Based
Methods
Verification and Learning of Feature Automatic Recognition with Time
Prediction for EDM and WEDM