Role of trochoidal machining process parameter and chip morphology studies during end milling of AISI D3 steel
This study aims at discovering the effect of the trochoidal loop spacing parameter on Surface Roughness (SR), Specific Cutting Energy (SCE) and Temperature (T) during flat end milling operations. Twenty experimental runs were conducted based on ...
An experimental study of modified physical performance test of low-temperature epoxy grouting material for grouting joints with tenon and mortise
With the grouting material as focus, this study aims to guarantee that the joint with tenon and mortise constructing a metro station has the necessary waterproof performance, which shall not be poorer than the mechanical properties of the concrete ...
A post-quantum secure communication system for cloud manufacturing safety
In recent years, as one of the new advanced manufacturing modes, cloud manufacturing has been received wide attentions around the world. The technology of cloud manufacturing intergrades the services-oriented techniques as well as manufacturing ...
A self-organized approach for scheduling semiconductor manufacturing systems
In semiconductor manufacturing industry, traditional scheduling rules are not conducive to improving production capacity to autonomously adjust based on real-time status. To fill this gap, this study proposes a dynamic dispatching rule based on ...
An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading
Many manufacturing systems need more than one type of resource to co-work with. Commonly studied flexible job shop scheduling problems merely consider the main resource such as machines and ignore the impact of other types of resource. As a result,...
Implementation of a novel algorithm of wheelset and axle box concurrent fault identification based on an efficient neural network with the attention mechanism
With the rapid development of urban rail transit in recent years, it becomes necessary to ensure the operation safety of train wheelset axle boxes. Aiming at the problems of large model size and long diagnosis time in traditional fault diagnosis ...
Intelligent bearing structure and temperature field analysis based on finite element simulation for sustainable and green manufacturing
Intelligent manufacturing is a new mode and trend of sustainable manufacturing development. It optimizes the design and manufacturing process of products and greatly reduces the consumption of resources and energy by virtue of the huge potential ...
A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles
- Abida Sharif,
- Jian Ping Li,
- Muhammad Asim Saleem,
- Gunasekaran Manogran,
- Seifedine Kadry,
- Abdul Basit,
- Muhammad Attique Khan
The Internet of Vehicles (IoV) is a communication paradigm that connects the vehicles to the Internet for transferring information between the networks. One of the key challenges in IoV is the management of a massive amount of traffic generated ...
Critical joint identification for efficient sequencing
Identifying the optimal sequence of joining is an exhaustive combinatorial optimization problem. On each assembly, there is a specific number of weld points that determine the geometrical deviation of the assembly after joining. The number and ...
Mathematical modeling and a hybrid evolutionary algorithm for process planning
Process planning is an essential part of the manufacturing system linking the designing and practical manufacturing. However, the reported process planning models are too simple to describe all characteristics because of the complexity of process ...
A novel tolerance geometric method based on machine learning
In most cases, designers must manually specify geometric tolerance types and values when designing mechanical products. For the same nominal geometry, different designers may specify different types and values of geometric tolerances. To reduce ...
Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing
The development of information technology and process technology have been enhanced the rapid changes in high-tech products and smart manufacturing, specifications become more sophisticated. Large amount of sensors are installed to record ...
End-of-life product disassembly with priority-based extraction of dangerous parts
The amount of electronic waste generated in the world is impressive. The USA alone yearly throw away 9.4 million tons of electronic devices: only 12.5% is recycled. One way to reduce this massive impact on the environment is to disassemble these ...
Designing an adaptive production control system using reinforcement learning
Modern production systems face enormous challenges due to rising customer requirements resulting in complex production systems. The operational efficiency in the competitive industry is ensured by an adequate production control system that manages ...
Impact of the thermomechanical load on subsurface phase transformations during cryogenic turning of metastable austenitic steels
When machining metastable austenitic stainless steel with cryogenic cooling, a deformation-induced phase transformation from γ-austenite to α′-martensite can be realized in the workpiece subsurface. This leads to a higher microhardness and thus ...
Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth
The acceptance of the machined surfaces not only depends on roughness parameters but also in the flatness deviation (Δfl). Hence, before reaching the threshold of flatness deviation caused by the wear of the face mill, the tool inserts need to be ...
