Topic
Material flow
About: Material flow is a research topic. Over the lifetime, 3050 publications have been published within this topic receiving 36844 citations. The topic is also known as: material stream.
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19 Aug 1999
TL;DR: This paper presents numerical results from a two-Machine Decomposition Analysis of Flow Line Analysis of Discrete Material Flow Line Models, which revealed Variability and the Performance of Flow Lines to be non-Linearities in the Flow of Material.
Abstract: Introduction.- Issues, Goals, and Methods of Flow Line Analysis.- Variability and the Performance of Flow Lines.- Non-Linearities in the Flow of Material.- Economic Design Problems in Flow Line Analysis.- Methods of Performance Analysis.- Two-Machine Decomposition of Flow Lines.- Review of the Literature.- Assembly/Disassembly Systems with Random Processing Times.- Discrete and Continuous Time Models.- Exact Solution of a Two-Machine Subsystem.- Decomposition Equations for Assembly/Disassembly Systems.- Two Algorithms to Determine Performance Measures.- Numerical Results.- Optimal Design of Assembly/Disassembly Systems.- Flow Lines with Rework Loops and Identical Processing Times.- Discrete-Material Flow Line Model with Identical Deterministic Processing Times.- Decomposition Equations for Loops and Identical Processing Times.- The Algorithm to Determine Performance Measures.- Numerical Results: Algorithms and Flow Line Behavior.- Optimal Design of Systems with Loops and Identical Processing Times.- Flow Lines with Rework Loops and Machine-Specific Processing Times.- Continuous-Material Flow Line Model with Machine-Specific Processing Times.- Decomposition Equations for Loops and Different Processing Times.- The Algorithm to Determine Performance Measures.- Numerical Results: Algorithms and Flow Line Behavior.- Optimal Design of Systems with Loops and Different Processing Times.- Conclusions and Suggestions for Further Research.- Derivation for the Discrete Material Flow Line.- Derivation for the Continuous Material Flow Line..
72 citations
TL;DR: In this article, a CFD-based, fully coupled, 3D, thermo-mechanical model was built to better understand the effect of process parameters on temperature, material flow and strain rate.
71 citations
TL;DR: Several material flow metrics used to characterize system behavior that are derived from the ecological development of input-output techniques are concerns; most notable of these metrics are several measures of material cycling and a measure of the number of processes visited by material while in a system.
Abstract: This article, continuing with the themes of the companion article, expounds the capabilities of input-output techniques as applied to material flows in industrial systems. Material flows are the primary focus because of their role in directly linking natural and industrial systems and thereby being fundamental components of environmental issues in industrial economies. The specific topic in this article concerns several material flow metrics used to characterize system behavior that are derived from the ecological development of input-output techniques; most notable of these metrics are several measures of material cycling and a measure of the number of processes visited by material while in a system. These metrics are shown to be useful in analyzing the state of material flow systems. Further-more, the metrics are shown to be a central link in connecting input-output flow analysis to synthesis (i.e., the process of using measurements of system behavior to design changes to that system). By connecting the flow metrics to both environmental objectives and controllable aspects of flow models, changes to existing flow systems are synthesized to generate improved system behavior. To bring this pair of articles to a close, several limitations of input-output flow analysis are summarized with the goal of stimulating further interest and research.
70 citations
TL;DR: In this article, an evolutionary algorithm (EA) is proposed for optimal synchronization of supply chains, which is shown to be much faster at solving large problems than an enumeration procedure and exhibits robust behavior when tested on a variety of different problem parameters.
70 citations
01 Jan 2014
TL;DR: In this article, a computational fluid dynamics (CFD) based numerical model is developed to predict the temperature distribution and material flow during FSW of dissimilar aluminum alloys AA2024 and AA7075.
Abstract: Joining dissimilar materials is required in many engineering applications and conventional fusion welding of dissimilar materials often results in defective welds. Friction Stir Welding (FSW) has paved way for joining dissimilar alloys and defect-free joints have been obtained for a number of dissimilar material combinations. Numerical modelling of FSW process can provide reasonable insight into the physics of the process and will aid in minimising the number of experimental trials. In this paper, Computational Fluid Dynamics (CFD) based numerical model is developed to predict the temperature distribution and material flow during FSW of dissimilar aluminum alloys AA2024 and AA7075. Volume of fluid approach is used and the FSW process is modelled as a steady-state visco-plastic laminar flow past a rotating cylindrical tool. Results indicate that peak temperature in the welded plates increases with the increase of Tool Rotation Speed (TRS) and Shoulder Diameter (SD), whereas the peak temperature decreases with increase in Welding Speed (WS). Increasing TRS and SD increases material flow, while increasing WS decreases material flow in the stir zone.
70 citations