![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
An assembly sequence monitoring method based on workflow modeling for human–robot collaborative assembly
Human–robot collaborative assembly (HRCA) is one of the hot trends in intelligent manufacturing and has gained the attention of many researchers. In HRCA, errors in assembly sequence may reduce working efficie...
-
Article
A novel unbalanced signal extraction method based on quadratic SSA-VMD for micro-motor rotor
Vibration signal processing is the key to the dynamic balance of micro-motor rotors. Aiming at the extraction accuracy of the amplitude and phase of the unbalanced vibration signal of micro-motor rotors, a fea...
-
Article
Effect of reinforced particles on the machinability of Al alloy under MQL, cryogenic, and hybrid lubrication
Aluminum-based metal matrix composites (MMCs) offer a high strength-to-weight ratio with excellent abrasion resistance, finding vast applications in aerospace industries. However, machining these materials is ...
-
Article
Open AccessA new workflow for warning and controlling the water invasion
Warning and controlling the water invasion in water-driving reservoirs is significant because water invasion will seriously hamper well productivity and gas recovery. Unfortunately, there are few comprehensive...
-
Article
Towards sustainability assessment, energy consumption, and carbon emissions in cryogenic drilling of Alloy 20: a new approach towards sustainable future and challenges
Both the product and the manufacturing process must be sustainable in today’s modern world. Traditional machining methods are undesirable when working with heat-resistant alloys. These methods could be more ef...
-
Article
Reducing effects of boundary condition in modal testing of flexible structures
In ground modal testing, soft suspensions are usually employed to simulate the free-free boundary condition for flexible structures, the suspension system will introduce additional stiffness to structures, whi...
-
Article
Industrial IoT–enabled real-time prediction of strip cross-section shape for hot-rolling steel
Because strip cross sections cannot be obtained during hot rolling in advance, traditional automatic shape control systems can only rely on the measured shape at the exit of the final mill for feedback control...
-
Article
Research on vibration characteristics of silicon nitride 6206 full-ceramic bearing with different pre-tightening force and oil supply rate
Full-ceramic ball bearings are widely used in aerospace, gas engines, and extreme working conditions. The research on vibration characteristics of full-ceramic ball bearings under different pre-tightening forc...
-
Article
Predicting flatness of strip tandem cold rolling using a general regression neural network optimized by differential evolution algorithm
Flatness prediction is a critical technical concern in flatness feedforward control during strip cold rolling. This work realized a high-precision prediction of flatness for strip cold rolling by the data-driv...
-
Article
A novel intelligent method for slab front-end bending control in hot rolling
A novel intelligent control strategy based on machine learning (ML) and an optimal feed-forward control method are proposed to realize the high-precision prediction and precise control of slab front-end bendin...
-
Article
Application of the gradient boosting decision tree in the online prediction of rolling force in hot rolling
The prediction accuracy of the rolling force is crucial for the strip hot rolling process, which will significantly affect the dimensional control accuracy of the strip product. The rolling force prediction mo...
-
Article
A novelty mandrel supported thin-wall tube bending cross-section quality analysis: a diameter-adjustable multi-point contact mandrel
The mandrel plays a vital role in metal tube bending limit improvement and high-quality achievement. For the bending forming process of metal tubes with different diameters, the corresponding mandrel needs to ...
-
Chapter and Conference Paper
Machine Learning in Process Monitoring and Control for Wire-Arc Additive Manufacturing
Wire-arc additive manufacturing (WAAM) is an arc-based directed energy deposition approach that uses an electrical arc as a source of fusion to melt the wire feedstock and deposit layer by layer. It’s applicab...
-
Article
Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments
Wearing masks is an easy way to operate and popular measure for preventing epidemics. Although masks can slow down the spread of viruses, their efficacy in gathering environments involving heterogeneous person...
-
Article
Modeling and validation of bending force for 6-high tandem cold rolling mill based on machine learning models
When producing high-end grades of cold-rolled strips such as precision thin strips and high-strength automobile steel plates, it is difficult to control the flatness due to their small thicknesses or high stre...
-
Article
Nb reinforced Fe-Mn-Si shape memory alloy composite coating fabricated by laser cladding on 304 stainless steel surface
Laser cladding technology was adapted to fabricate Fe-based shape memory alloy/Nb composite coatings with 5 wt. % Nb do** amounts on 304 stainless steel to promote the microhardness and wear resistance. The ...
-
Article
A new mandrel design with mandrel ball thickness variation for the bending process of aviation ultra-thin-walled tubes
Due to their unique advantages of high strength, high performance, and light weight, ultra-thin-walled (UTW) tubes have attracted increasing application in the aviation and aerospace industries. However, wrink...
-
Article
Open AccessExploring the concept of Cognitive Digital Twin from model-based systems engineering perspective
Digital Twin technology has been widely applied in various industry domains. Modern industrial systems are highly complex consisting of multiple interrelated systems, subsystems and components. During the life...
-
Article
A hierarchical prediction method based on hybrid-kernel GWO-SVM for metal tube bending wrinkling detection
Metal bending tube is widely used in industry while its forming defects extremely affect the bending quality. Among all defects, the bending-inside wrinkling caused by the non-uniform compressive stress is a z...
-
Article
Rolling force prediction in cold rolling process based on combined method of T-S fuzzy neural network and analytical model
In the cold rolling process, inaccurate rolling force settings and the resulting strip thickness fluctuations and other quality problems occur, reducing the yield and product quality. To improve the accuracy o...