Search
Search Results
-
Cutting model integrated digital twin–based process monitoring in small-batch machining
The success of machining process automation hinges primarily on the effectiveness of the monitoring and adaptive control systems. A new digital...
-
Diagnosis of spindle failure by unsupervised machine learning from in-process monitoring data in machining
In high-speed machining (HSM), process performance is closely linked to the optimization of cutting conditions and spindle exploitation. Kee** high...
-
Machining process condition monitoring based on ordinal pattern analysis and image matching
Stable machining process state is critical to product quality. However, existing method for monitoring the cutting process state cannot manifest the...
-
A tool wear prediction and monitoring method based on machining power signals
In the actual mechanical processing of difficult-to-process materials, normal or abnormal tool wear can lead to processing pauses or terminations,...
-
Equipment-process-strategy integration for sustainable machining: a review
Although the manufacturing industry has improved the quality of processing, optimization and upgrading must be performed to meet the requirements of...
-
A digital twin-based machining motion simulation and visualization monitoring system for milling robot
Compared with traditional CNC machines, robot milling has the advantages of low cost, high flexibility, and strong adaptability, providing a new...
-
Research and application of simulation and optimization for CNC machine tool machining process under data semantic model reconstruction
The digital twin is driving the machine manufacturing and processing workshop to change in the direction of digital intelligence and service. Aiming...
-
Cross-Machine Comparison of the Usability of Internal Machine Control Data for Process Monitoring in Machining Applications
The use of machine control data for process monitoring has many advantages. It represents a cost-effective alternative to expensive external...
-
State-of-the-art review of applications of image processing techniques for tool condition monitoring on conventional machining processes
In conventional machining, one of the main tasks is to ensure that the required dimensional accuracy and the desired surface quality of a part or...
-
In-situ analysis of laser-induced breakdown spectra for online monitoring of femtosecond laser machining of sapphire
Laser-induced breakdown spectroscopy (LIBS) is widely used for elemental analysis. However, its application for monitoring and analyzing a laser...
-
Application of Smart Strategies for Sustainable Manufacturing of Conventional Machining Process: A Review
The manufacturing industries have played a stellar role in contributing toward global economy. However, the industrial development of the past...
-
Quality control in multistage machining processes based on a machining error propagation event-knowledge graph
In multistage machining processes (MMPs), a clear understanding of the error accumulation, propagation, and evolution mechanisms between different...
-
Comprehensive investigation on sound generation mechanisms during machining for monitoring purpose
Tool wear has a significant influence on machining processes. Investigations on tool wear monitoring through various methods and sensors have been...
-
Mathematical Foundations of Machining System Monitoring
To ensure the safety and processing quality of high investment automation processing equipment, machining process monitoring is becoming an urgent...
-
Application of sophisticated sensors to advance the monitoring of machining processes: analysis and holistic review
Response measurement of various functionality states of machines is an inevitable part of smooth production. An effectively efficient measurement and...
-
Monitoring of surface roughness evolution during abrasive flow machining by acoustic emission
Abrasive flow machining (AFM) is very effective and widely adopted superfinishing process of internal channel surfaces in industry. There have been...
-
Investigation and prediction of machining characteristics of aerospace material through WEDM process using machine learning
In this study, pure titanium is used as the workpiece material and a machine learning approach is used to forecast the material removal rate (MRR)...
-
Exploring the effectiveness of using a smartphone for position-oriented process monitoring
Process monitoring is a practical approach for improving machining quality. However, expensive sensors and complex communication technologies render...
-
Process parameters optimization and performance analysis of micro-complex geometry machining on Ti6Al4V
The aeronautical industry relies on high-performance equipment that demands materials with exceptional engineering attributes, such as the Ti6Al4V...
-
Multiconditional machining process quality prediction using deep transfer learning network
The quality prediction of machining processes is essential for maintaining process stability and improving component quality. The prediction accuracy...
