Systems Analysis of Process Control Capabilities for Forging Accuracy

2017 ◽  
Vol 265 ◽  
pp. 1110-1115 ◽  
Author(s):  
V.G. Shibakov ◽  
D.L. Pankratov ◽  
R. Khairullin
Keyword(s):  
Process Control ◽  
Process Parameters ◽  
Systems Analysis ◽  
Simulation Modeling ◽  
Systems Approach ◽  
Dimensional Accuracy ◽  
Significant Process ◽  
Expert Analysis ◽  
Forging Force

The significance matrix for the parameters of “material-billet-equipment-process-tool-personnel-environment” system was compiled using the systems approach to the assurance of forging dimensional accuracy, and the expert analysis revealed the most significant process parameters that affect the accuracy. The application of simulation modeling helped to establish the dependence of forging force on the dimensions of an incoming billet. The paper suggests a solution to increase the accuracy of the sized forgings.

Multifactor optimization of FDM process parameters for development of rapid tooling using SiC/Al2O3-reinforced LDPE filament

2018 ◽  
Vol 33 (5) ◽  
pp. 581-598 ◽  
Author(s):  
Piyush Bedi ◽  
Rupinder Singh ◽  
IPS Ahuja
Keyword(s):  
Particle Size ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Rapid Tooling ◽  
Scanning Calorimetry ◽  
Fused Deposition ◽  
Significant Process ◽  
Deposition Modeling ◽  
Sic Reinforcement

In this work, multifactor optimization of fused deposition modeling (FDM) process parameters has been reported for in-house prepared feedstock filament comprising of SiC/Al2O3 reinforced in recycled low-density polyethylene (LDPE) matrix with different particle sizes (i.e. single particle size (SPS), double particle size (DPS), and triple particle size (TPS) in different proportions). This study has been conducted on Al2O3-based DPS reinforcement in LDPE, which came out as a better solution during pilot experimentation in comparison to SPS, TPS, and SiC reinforcement, for printing of functional prototypes as rapid tooling (RT). The result of study suggests that infill angle in the FDM process is the most significant process parameter (contributing around 93%) for preparation of RT as regards dimensional accuracy and hardness is concerned. The RT so prepared is thermally stable as evident from differential scanning calorimetry analysis. Further, the photomicrographs observed in different planes suggest that, at the proposed settings, RT has a uniform distribution of reinforcement in LDPE matrix and can be gainfully used in light machining applications.

Experimental study of surface roughness, dimensional accuracy and time of fabrication of parts produced by fused deposition modelling

2020 ◽  
Vol 26 (9) ◽  
pp. 1535-1554
Author(s):  
Swapnil Vyavahare ◽  
Shailendra Kumar ◽  
Deepak Panghal
Keyword(s):  
Experimental Study ◽  
Surface Roughness ◽  
Layer Thickness ◽  
Process Parameters ◽  
Dimensional Accuracy ◽  
Fused Deposition Modelling ◽  
Content Type ◽  
Build Orientation ◽  
Fused Deposition ◽  
Significant Process

Purpose This paper aims to focus on an experimental study of surface roughness, dimensional accuracy and time of fabrication of parts produced by fused deposition modelling (FDM) technique of additive manufacturing. The fabricated parts of acrylonitrile butadiene styrene (ABS) material have pyramidal and conical features. Influence of five process parameters of FDM, namely, layer thickness, wall print speed, build orientation, wall thickness and extrusion temperature is studied on response characteristics. Furthermore, regression models for responses are developed and significant process parameters are optimized. Design/methodology/approach Comprehensive experimental study is performed using response surface methodology. Analysis of variance is used to investigate the influence of process parameters on surface roughness, dimensional accuracy and time of fabrication in both outer pyramidal and inner conical regions of part. Furthermore, a multi-response optimization using desirability function is performed to minimize surface roughness, improve dimensional accuracy and minimize time of fabrication of parts. Findings It is found that layer thickness and build orientation are significant process parameters for surface roughness of parts. Surface roughness increases with increase in layer thickness, while it decreases initially and then increases with increase in build orientation. Layer thickness, wall print speed and build orientation are significant process parameters for dimensional accuracy of FDM parts. For the time of fabrication, layer thickness and build orientation are found as significant process parameters. Based on the analysis, statistical non-linear quadratic models are developed to predict surface roughness, dimensional accuracy and time of fabrication. Optimization of process parameters is also performed using desirability function. Research limitations/implications The present study is restricted to the parts of ABS material with pyramidal and conical features only fabricated on FDM machine with delta configuration. Originality/value From the critical review of literature it is found that some researchers have made to study the influence of few process parameters on surface roughness, dimensional accuracy and time of fabrication of simple geometrical parts. Also, regression models and optimization of process parameters has been performed for simple parts. The present work is focussed on studying all these aspects in complicated geometrical parts with pyramidal and conical features.

scholarly journals A Systems Analysis of Small-Holder Agriculture. A Systems Approach to Mechanisation

1977 ◽  
Vol 10 (14) ◽  
pp. 545-557
Author(s):  
G. Muchiri ◽  
M.M. Shah ◽  
J.B. Holtman
Keyword(s):  
Systems Analysis ◽  
Systems Approach ◽  
Small Holder

A Dynamic Dyadic Systems Approach to Interpersonal Communication

2021 ◽  
Author(s):  
Denise Haunani Solomon ◽  
Miriam Brinberg ◽  
Graham D Bodie ◽  
Susanne Jones ◽  
Nilam Ram
Keyword(s):  
Interpersonal Communication ◽  
Systems Analysis ◽  
Time Series Data ◽  
Systems Approach ◽  
Dynamic Structure ◽  
Relevant Information ◽  
Dyadic Interaction ◽  
Series Data ◽  
Conversational Units ◽  
Dyadic Systems

Abstract This article articulates conceptual and methodological strategies for studying the dynamic structure of dyadic interaction revealed by the turn-to-turn exchange of messages between partners. Using dyadic time series data that capture partners’ back-and-forth contributions to conversations, dynamic dyadic systems analysis illuminates how individuals act and react to each other as they jointly construct conversations. Five layers of inquiry are offered, each of which yields theoretically relevant information: (a) identifying the individual moves and dyadic spaces that set the stage for dyadic interaction; (b) summarizing conversational units and sequences; (c) examining between-dyad differences in overall conversational structure; (d) describing the temporal evolution of conversational units and sequences; and (e) mapping within-dyad dynamics of conversations and between-dyad differences in those dynamics. Each layer of analysis is illustrated using examples from research on supportive conversations, and the application of dynamic dyadic systems analysis to a range of interpersonal communication phenomena is discussed.

Large-Diameter Line Pipe Expanding Process

2012 ◽  
Vol 192 ◽  
pp. 180-184 ◽  
Author(s):  
Ai Xia He ◽  
Rong Chang Li
Keyword(s):  
Process Parameters ◽  
Large Diameter ◽  
Dimensional Accuracy ◽  
Optimization Method ◽  
Main Process ◽  
Shape Accuracy ◽  
Line Pipe ◽  
Factors Affecting ◽  
Array Optimization

Mechanical expanding process for large diameter line pipe, a detailed analysis of factors affecting the quality of the final products of the mechanical expansion and proposed optimization using orthogonal array optimization method, as an indicator of dimensional accuracy and shape accuracy of the products, combination of a variety of specifications of mechanical expanding products, the main process parameters to be optimized. Analysis and discussion of results, revealing the degree of influence of various factors on the quality of the final product, and gives the optimum combination of the results. Experiments show that the combination of optimized process parameters, and more help to improve the accuracy of the size and shape of products.

scholarly journals Optimization of SLS forming parameters in the dimensional accuracy of formed parts

2021 ◽  
Vol 233 ◽  
pp. 01069
Author(s):  
Hong ZHU ◽  
Gaoyan HOU
Keyword(s):  
Process Parameters ◽  
Selective Laser Sintering ◽  
Dimensional Accuracy ◽  
Scanning Speed ◽  
Axis Deviation ◽  
Reference Standard ◽  
Optimal Process ◽  
Molded Part ◽  
Formed Part ◽  
Powder Forming

In selective laser sintering powder forming, the performance and dimensional accuracy of the formed part are affected by the process parameters. Different materials have different process parameters, and there is still no reference standard for PA materials. To solve this problem, in response to this problem, PA2200 material was selected, and the influence of scanning interval and scanning speed on the dimensional accuracy of the formed part was analyzed. Through theoretical analysis and experiments, the optimal process parameters were obtained. The best combination of parameters is a scanning speed of 4000mm/s, a scanning interval of 0.5mm, and the size of the molded part has a X-axis deviation -0.35%, a Y-axis deviation -0.4%, and a Z-axis deviation -0.25%.

scholarly journals Abrasive jet drilling of glass sheets: Effect and optimisation of process parameters on kerf taper

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401774843 ◽  
Author(s):  
Ahmed Nassef ◽  
Ahmed Elkaseer ◽  
El Shimaa Abdelnasser ◽  
Mohamed Negm ◽  
Jaber Abu Qudeiri
Keyword(s):  
Process Parameters ◽  
Applied Pressure ◽  
Dimensional Accuracy ◽  
Major Effect ◽  
Machining Process ◽  
Standoff Distance ◽  
Influence Of Process Parameters ◽  
Abrasive Jet Machining ◽  
Proposed Model ◽  
Kerf Taper

This article reports an investigation of the influence of process parameters on the obtainable dimensional accuracy when drilling glass using abrasive jet machining. In particular, holes were drilled out of glass sheets, and the effects of standoff distance, nozzle diameter, particle grain size and applied pressure on the kerf taper were examined. An artificial neural network technique was used to establish a precise model of kerf taper as a function of the process parameters. The proposed model was then optimised, and the conditions to minimise the kerf taper were identified using a genetic algorithm. The results revealed that standoff distance has a major effect on kerf taper, and it proved possible to substantially reduce the kerf taper by applying an axial feed to the nozzle so that the standoff distance is kept constant during the machining process.

Adaptive Process Control in Noncircular Grinding

1999 ◽  
Author(s):  
Hans Kurt Tönshoff ◽  
Stephan Scherger ◽  
Helmut Hinkenhuis
Keyword(s):  
Adaptive Control ◽  
Process Control ◽  
Position Control ◽  
Dimensional Accuracy ◽  
Control Unit ◽  
Setup Time ◽  
Relevant Information ◽  
Adaptive Process Control ◽  
Tangential Forces ◽  
Hybrid Adaptive Control

Abstract Conventional process control in noncircular grinding requires high efforts concerning adjustment and optimization. The increasing demands on multi-product-ability as well as small lot sizes or single piece production do no longer allow these efforts. Furthermore, process relevant information like normal or tangential forces is not monitored, consequently there is no possibility for process quality control to support a constant workpiece quality. This article introduces a hybrid adaptive control which consists of three components: The contour pre-filtering unit converts the contour data into a nominal value curve that is twice differentiable. Limited dynamic ranges of the drives, especially at high rates of workpiece rotations, are considered in the predictive feeddrive position control unit. The normal force control unit keeps the swelling of the machine at a constant value and therefore improves the dimensional accuracy of noncircular workpieces like e.g. cams. The hybrid adaptive control dramatically reduces the setup time of the process and results in improved workpiece quality.

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