4.6 Article

Machined Surface Quality Monitoring Using a Wireless Sensory Tool Holder in the Machining Process

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Mechanical

Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations

E. Garcia Plaza et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Automation & Control Systems

Development of a dynamic surface roughness monitoring system based on artificial neural networks (ANN) in milling operation

AmirMahyar Khorasani et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)

Article Automation & Control Systems

Signal processing and pattern recognition for surface roughness assessment in multiple sensor monitoring of robot-assisted polishing

Tiziana Segreto et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)

Article Engineering, Mechanical

Surface roughness monitoring by singular spectrum analysis of vibration signals

E. Garcia Plaza et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Computer Science, Artificial Intelligence

An intelligent neural-fuzzy model for an in-process surface roughness monitoring system in end milling operations

PoTsang B. Huang

JOURNAL OF INTELLIGENT MANUFACTURING (2016)

Proceedings Paper Engineering, Industrial

Comparison of Sensors Signal Quality when Drilling Inconel 718

Martin Eckstein et al.

9TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME '14 (2015)

Article Engineering, Industrial

Monitoring the tool wear, surface roughness and chip formation occurrences using multiple sensors in turning

M. S. H. Bhuiyan et al.

JOURNAL OF MANUFACTURING SYSTEMS (2014)

Proceedings Paper Engineering, Manufacturing

Monitoring of Drilling Process for Highly Stressed Aeroengine Components

Martin Eckstein et al.

FIFTH CIRP CONFERENCE ON HIGH PERFORMANCE CUTTING 2012 (2012)

Article Automation & Control Systems

Use of NC kernel data for surface roughness monitoring in milling operations

Christian Brecher et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)

Article Computer Science, Artificial Intelligence

Surface roughness monitoring application based on artificial neural networks for ball-end milling operations

G. Quintana et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2011)

Article Computer Science, Interdisciplinary Applications

Using kernel data in machine tools for the indirect evaluation of surface roughness in vertical milling operations

Guillem Quintana et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2011)

Article Computer Science, Artificial Intelligence

Comparison of Bayesian networks and artificial neural networks for quality detection in a machining process

M. Correa et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Engineering, Manufacturing

In-process surface roughness prediction using displacement signals from spindle motion

Hun-Keun Chang et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2007)

Article Computer Science, Artificial Intelligence

The development of an in-process surface roughness adaptive control system in turning operations

Julie Z. Zhang et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2007)

Article Automation & Control Systems

Data acquisition and monitoring in machine tools with CNC of open architecture using internet

F Ferraz et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2005)

Article Engineering, Multidisciplinary

Accurate estimation of surface roughness from texture features of the surface image using an adaptive neuro-fuzzy inference system

KC Lee et al.

PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY (2005)

Review Engineering, Manufacturing

Machining process monitoring and control: The state-of-the-art

SY Liang et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2004)

Article Engineering, Manufacturing

Process monitoring to assist the workpiece surface quality in machining

DA Axinte et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2004)

Article Engineering, Manufacturing

Identification of common sensory features for the control of CNC milling operations under varying cutting conditions

YM Ertekin et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2003)

Review Engineering, Manufacturing

Predicting surface roughness in machining: a review

PG Benardos et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2003)