A Novel Method for Process Planning for Die and Mould Manufacturing Using Expert System Approach

Mould design and development are experience-oriented operations involving complex process planning integration and relatively time-consuming processes. A solution for integrating the process planning with manufacturing operations for mould design and development is presented. In this paper, the developed solution is related to cost and time. The main aim of the study is to optimize the whole process planning scenario and make it feasible and accessible for faster and optimum design to manufacture die and moulds for injection moulding applications. The developed method consists of group technology (GT) coding for part and tool linked to the manufacturing process and its criticalities. An impact factor rating system is established using the weighted average method to associate the manufacturing operations with time and cost combined with the matrix reduction method so as to produce an optimized sequence of operations. The effect of restricting certain criticalities (electric discharge machine usage, quality and complexity) on the GT code is also elaborated in reference to quality and other parameters. The resultant study presents a novel method of establishing an expert system (ES) that combines GT coding, manufacturing operations, weighted average and matrix reduction to optimize the process planning. The rationale behind the research is an effective use of the ES in optimizing process planning applications in digital manufacturing

Novel soliton solutions to the Atangana-Baleanu fractional system of equations for the ISALWs

This work deals the construction of novel soliton solutions to the Atangana-Baleanu (AB) fractional system of equations for the ion sound and Langmuir waves by using Sardar-subequation method (SSM). The outcomes are in the form of bright, singular, dark and combo soliton solutions. These solutions have wide applications in the arena of optoelectronics and wave propagation. The bright solitons will be a vast advantage in controlling the soliton disorder, dark solitons are also beneficial for soliton communication when a background wave exists and singular solitons only elaborate the shape of solitons and show a total spectrum of soliton solutions created from the model. These results would be very helpful to study and understand the physical phenomena in nonlinear optics. The performance of the SSM shows that this is powerful, talented, suitable and direct technique to discover the exact solutions for a number of nonlinear fractional models

Study of optical stochastic solitons of Biswas-Arshed equation with multiplicative noise

In many nonlinear partial differential equations, noise or random fluctuation is an inherent part of the system being modeled and have vast applications in different areas of engineering and sciences. This objective of this paper is to construct stochastic solitons of Biswas-Arshed equation (BAE) under the influence of multiplicative white noise in the terms of the Itô calculus. Bright, singular, dark, periodic, singular and combined singular-dark stochastic solitons are attained by using the Sardar subequation method. The results prove that the suggested approach is a very straightforward, concise and dynamic addition in literature. By using Mathematica 11, some 3D and 2D plots are illustrated to check the influence of multiplicative noise on solutions. The presence of multiplicative noise leads the fluctuations and have significant effects on the long-term behavior of the system. So, it is observed that multiplicative noise stabilizes the solutions of BAE around zero

A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services

The increasing demand for personalized products and cost-effectiveness has highlighted the necessity of integrating intelligence into production systems. This integration is crucial for enabling intelligent control that can adapt to variations in features, parts, and conditions, thereby enhancing functionalities while reducing costs. This research emphasizes the incorporation of intelligence in testing processes within production systems. We introduce a novel approach for controlling testing functionality using an asset administration shell enriched with modular artificial intelligence. The proposed architecture is not only effective in controlling the execution behavior through services but also offers the distinct advantage of a modular design. This modularity significantly contributes to the system's adaptability and scalability, allowing for more efficient and cost-effective solutions as different machine-learning models may be substituted to meet requirements. The effectiveness of this approach is validated through a practical use case of leak testing, demonstrating the benefits of the modular architecture in a real-world application

Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing

The rise in demand for customised products and lower costs has generated the need for incorporating intelligence in production systems. Intelligence is the main driver for enabling intelligent control in production systems to meet feature, part and conditional variations. It also promotes solutions that offer higher functionalities and lower costs. The research presented in this paper focuses on integrating intelligence into testing processes within a production system. A novel method of controlling the testing functionality is presented by deploying and using the asset administration shell approach. A means of controlling the process with the asset administration shell guided by simulation is demonstrated. An architecture for controlling the execution behaviour in testing process by services is conceptualised offering a modular and low-cost solution. A validation by using an experimental use-case of leak-testing is presented

Analysis of optical solitons solutions of two nonlinear models using analytical technique

Looking for the exact solutions in the form of optical solitons of nonlinear partial differential equations has become very famous to analyze the core structures of physical phenomena. In this paper, we have constructed some various type of optical solitons solutions for the Kaup-Newell equation (KNE) and Biswas-Arshad equation (BAE) via the generalized Kudryashov method (GKM). The conquered solutions help to understand the dynamic behavior of different physical phenomena. These solutions are specific, novel, correct and may be beneficial for edifying precise nonlinear physical phenomena in nonlinear dynamical schemes. Graphical recreations for some of the acquired solutions are offered.</p

Agent-based manufacturing — review and expert evaluation

The advent of smart manufacturing and the exposure to a new generation of technological enablers have revolutionized the way manufacturing process is carried out. Cyber-Physical Production Systems (CPPS) are introduced as main actors of this manufacturing shift. They are characterized for having high levels of communication, integration and computational capabilities that led them to a certain level of autonomy. Despite the high expectations and vision of CPPS, it still remains an exploratory topic. Multi-Agent Systems (MAS) have been widely used by software engineers to solve traditional computing problems, e.g., banking transactions. Because of their high levels of distribution and autonomous capabilities, MAS have been considered by the research community as a good solution to design and implement CPPS. This work first introduces a collection of requirements and characteristics of smart manufacturing. A comprehensive review of various research applications is presented to understand the current state of the art and the application of agent technology in manufacturing. Considering the smart manufacturing requirements and current research application, a SWOT analysis was formulated which identifies pros and cons of the implementation of agents in industry. The SWOT analysis was further validated by an industrial expert evaluation and the main findings and discussion of the results are presented