Zequan Yao

Hybrid mechanism-based and neural-network-assisted real-time prediction of surface anomalies in radial immersion micromilling

Marcin Gołaszewski, Zequan Yao

The transfer of quality control tasks to the manufacturing stage, referred to as in-process quality control, has become an important trend in modern production systems. In response, a neural network assisted system was developed for real-time evaluation of surface roughness during micro …

pl, be (code pays fourni par la source)

A synergistic framework combining explainable AI and multiphysical simulation for uncovering process–structure relationships in mask electrolyte jet machining

Ming Wu, Zequan Yao, Long Ye, Jia Ge et autres

be, gb, ie, cn (code pays fourni par la source)

Hoog-Efficiënt Microvonken met een Niet-Invasieve Meettechniek: In-Proces Monitoring en Regeling

Zequan Yao

As a non-contact material removal technique based on thermoelectric coupling mechanism, micro electrical discharge machining (micro-EDM) is capable of processing any electrically conductive material, including those that are difficult-to-machine, and has thus found widespread application in various industrial sectors. However, the extremely …

Non-invasive radio frequency (RF)-driven in-process monitoring and control for enhancing micro-electrical discharge machining stability and efficiency

Zequan Yao, Ming Wu, Jun Qian, Dominiek Reynaerts

be (code pays fourni par la source)

Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes

Ming Wu, Zequan Yao, Mathias Verbeke, Peter Karsmakers et autres

be (code pays fourni par la source)

Intelligent discharge state detection in micro-EDM process with cost-effective radio frequency (RF) radiation: Integrating machine learning and interpretable AI

Zequan Yao, Ming Wu, Jun Hao Qian, Dominiek Reynaerts

be (code pays fourni par la source)

Tackling data scarcity in machine learning-based CFRP drilling performance prediction through a broad learning system with virtual sample generation (BLS-VSG)

Jia Ge, Zequan Yao, Ming Wu, José Humberto S. Almeida et autres

ie, gb, be, fi (code pays fourni par la source)

Author response for "Pre-trained Language Models for Protein and Molecular Design"

Erdong Zhang, Calvin Yu‐Chian Chen, Zequan Yao, Guanxing Chen et autres

Intelligent machining of CFRP composites via data-driven prediction and optimization: Advances, challenges and future prospects

Jia Ge, Jiduo Zhang, Midie Xu, Ming Wu et autres

The global drive towards net-zero has accelerated the adoption of carbon fibre reinforced polymers (CFRP) for lightweight structures in various sectors such as aerospace, automotive, energy and biomedical. Mechanical machining of CFRP is often necessary to meet dimensional or assembly-related requirements. However, …

gb, cn, be, hk, au, it (code pays fourni par la source)

A Threshold-Free and Label-Free Pipeline for Adaptive Pulse Classification in Electrical Discharge Machining

Ming Wu, Zequan Yao, Robrecht Abts, Peter Karsmakers et autres

The surface quality and process accuracy of Electrical Discharge Machining (EDM) are critical performance metrics, which rely on accurate estimations of tool wear rate (TWR) and material removal rate (MRR). These estimations, in turn, necessitate effective classification of electrical discharge pulses. However, …

be (code pays fourni par la source)

Pre-trained language models for protein and molecular design

Erdong Zhang, Zequan Yao, Guanxing Chen, Shiwei Chen et autres

Pre-trained language models (PLMs) have recently emerged as a powerful tool, showcasing exceptional performance not just in natural language understanding but also in the realm of biological research. The advantage of PLMs lies in their ability to leverage the structural similarity between …

cn, us, tw (code pays fourni par la source)

Geometrical Feature Classification in Electrical Discharge Machining Using In-Process Monitoring and Machine Learning

Ming Wu, Zequan Yao, Long Ye, Mathias Verbeke et autres

Maintaining process stability in electrical discharge machining (EDM) during the fabrication of geometrically complex components remains challenging due to angular dependencies that modulate interelectrode gap conditions and discharge dynamics. This study demonstrates that the use of in-process discharge pulse analysis enables geometric …

be, gb (code pays fourni par la source)