Among the tenets of Smart Manufacturing (SM) or Industry 4.0 (I4.0), digital twin (DT), which represents capabilities virtual representations components and systems, has been cited as biggest technology trend disrupting engineering design today. DTs have in use for years areas such model-based process control predictive maintenance, however moving forward a framework is needed that will support expected pervasiveness DT evolution SM I4.0. A set requirements derived from analysis definitions,...

Digital Twin (DT) is an emerging technology that has recently been cited as underpinning element of the digital transformation. DTs are commonly defined replicas components, systems, products, and services receive data from field to support intelligent decision-making. Although several frameworks for DT application in manufacturing have proposed, there no systematic methodology literature supports development scalable, reusable, interoperable, interchangeable, extensible solutions, while...

Smart manufacturing (SM) systems utilize run-time data to improve productivity via intelligent decision-making and analysis mechanisms on both machine system levels. The increased adoption of cyber-physical in SM leads the comprehensive framework (CPMS) where data-enabled are coupled with resources plant floor. Due their nature, CPMS susceptible cyber-attacks that may cause harm system, products, or even human workers involved this context. Therefore, detecting efficiently timely is a...

Digital Twin (DT) is one of the key enabling technologies for realizing promise Smart Manufacturing (SM) and Industry 4.0 to improve production systems operation. Driven by generation analysis high volume data coming from interconnected cyber physical spaces, DTs are real-time digital images systems, processes or products that help evaluate business performance. This paper proposes a novel DT architecture monitoring evaluation large-scale SM systems. An application manufacturing flow-shop...

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An important issue in anomaly detection smart manufacturing systems is the lack of consistency formal definitions anomalies, faults, and attacks. The term used to cover a wide range situations that are addressed by different types solutions. In this letter, we categorize anomalies machines, controllers, networks along with their mechanisms, unify them under common framework aid identification potential main contribution proposed categorization it allows gaps systems.

In current practice, product developers with customized small batch production needs come across the problem of finding capable and flexible manufacturers, whereas manufacturers face underutilization due to inconsistent demand. This paper presents a Production as Service (PaaS) framework connect users (consumers or developers) who have manufacturing existing underutilized resources. PaaS is cloud-based, centralized based on service-oriented architecture that abstracts steps individual...

Digital twin (DT) and additive manufacturing (AM) technologies are key enablers for smart systems. DTs of AM systems proposed in recent literature to provide additional analysis monitoring capabilities the physical processes. This work proposes a DT framework real-time performance anomaly detection fused deposition modeling (FDM) process. The can accommodate process measurement data model as cyber-physical system with continuous discrete event dynamics, allow development various...

Due to the advancements in manufacturing system technology and ever-increasing demand for personalized products, there is a growing desire improve flexibility of systems. Multi-agent control one strategy that has been proposed address this challenge. The multi-agent relies on decision making cooperation number intelligent software agents coordinate various components shop floor. One most important product agent, which maker single part system. To adaptability agent its strategy, work...

Manufacturers are constantly looking to enhance the performance of their manufacturing systems by improving ability address disruptions and disturbances, while reducing cost maximizing quantity quality. Even though innovative mechanisms for adaptability flexibility continuously contribute smart evolutionary process, they generally stop short providing a capability coordinated on-line learning. This is especially true when that learning requires exploration outside established operational...

When manufacturing parts using material extrusion additive and anisotropic polymers, the mechanical properties of a manufactured component are strongly dependent on print trajectory orientation. We conduct non-planar slicing optimize trajectories to maximize alignment between deposition direction stress flow induced by predefined load case. The optimization framework considers manufacturability constraints in form uniform layer height line spacing. demonstrate method bearing bracket 5-axis...

The world is in the midst of a new industrial revolution driven by Smart Manufacturing (SM). Though this paradigm promises increased flexibility, product customization, improved quality, efficient energy consumption, and productivity, SM systems are more susceptible to small faults that could cascade into major failures or even cyber-attacks enter plant. Flexibility reactivity/proactivity represent important means enhance systems' reliability, efficiency, robust response faults. Within...

Purpose This paper aims to develop experimentally validated numerical models accurately characterize the cross-sectional geometry of deposited beads in a fused filament fabrication (FFF) process under various conditions. Design/methodology/approach The presented model is investigated fidelity with varying computational complexity. To this end, comparisons between Newtonian, non-newtonian, isothermal and non-isothermal are for extrusion polylactic acid material an FFF process. through...

Iterative learning control (ILC) is a strategy for repetitive tasks wherein information from previous runs leveraged to improve future performance. Optimization-based ILC (OB-ILC) powerful design framework constrained where measurements the process are integrated into an optimization algorithm provide robustness against noise and modelling error. This paper proposes robust controller linear processes based on forward-backward splitting algorithm. It demonstrates how structured uncertainty...

In most industrial additive manufacturing (AM) applications a set of AM machines (AM-Fleet) are used in parallel. An AM-Fleet often consists from various vendors and may include different processes. processes suffer poor repeatability within single build, between builds on the same machine, machine to machine. AM's lack robustness is attributed insufficient in-process monitoring feedback control, as well unknown modeling dynamics, process standards. To effectively monitor control AM-Fleets,...