A Dual-Mechanism Approach to the Prediction of Machining Forces, Part 1: Model Development

1995 ◽  
Vol 117 (4) ◽  
pp. 526-533 ◽  
Author(s):  
W. J. Endres ◽  
R. E. DeVor ◽  
S. G. Kapoor

A cutting-process model addressing the chip removal and edge ploughing mechanisms separately yet simultaneously is presented. The model is developed such that it is readily applicable in an industrial setting, its coefficients have physical meaning, and it can be calibrated with a concise quantity of orthogonal cutting data. The total cutting and thrust forces are each the summation of its individual components acting on the rake face and clearance face. These components are calculated using the rake and effective clearance angles from the normal and friction forces acting on each of these tool surfaces. These normal and friction forces are calculated by the chip removal and edge ploughing portions of the model, respectively, using four empirical coefficients. To calculate the clearance face forces, the interference volume is required, the calculation of which is based on a geometrical representation of the clearance face interference region. This representation is characterized in part by the depth of tool penetration, which is influenced by thermal energy generation and is therefore determined using a fifth empirical model.

2020 ◽  
Vol 25 (1) ◽  
pp. 10-17
Author(s):  
B.V. Boytsov ◽  
◽  
G.S. Zhetessova ◽  
M.K. Ibatov ◽  
◽  
...  

The article discusses the methodology and provides the results of a multivariate SWOT analysis for a scientific and manufacturing educational process based on a set of regulatory and strategic documents, statistical data of the Republic of Kazakhstan; The main conclusions and description of the generated matrices for the subjects of interaction within the hierarchical triangle «Education – Science – Manufacturing (ESM)» are given.


Author(s):  
Paul Witherell ◽  
Shaw Feng ◽  
Timothy W. Simpson ◽  
David B. Saint John ◽  
Pan Michaleris ◽  
...  

In this paper, we advocate for a more harmonized approach to model development for additive manufacturing (AM) processes, through classification and metamodeling that will support AM process model composability, reusability, and integration. We review several types of AM process models and use the direct metal powder bed fusion AM process to provide illustrative examples of the proposed classification and metamodel approach. We describe how a coordinated approach can be used to extend modeling capabilities by promoting model composability. As part of future work, a framework is envisioned to realize a more coherent strategy for model development and deployment.


Author(s):  
Farid Miah ◽  
Emmanuel De-Luycker ◽  
Frederic Lachaud ◽  
Yann Landon ◽  
Robert Piquet

The necessity of understanding the influence of cutting variables in orthogonal cutting of Carbon Fiber Reinforced Polymer (CFRP) is vital because of their significant influences to the quality of manufactured parts. In this present research work the influences of different cutting depths to the cutting and thrust forces have been analyzed and a comparison between an equivalent homogeneous material (EHM) macro-model and experimental results have been made. The reasons of the beginning high cutting and thrust forces have been studied and explained. The post analysis of the experimental machined surfaces has been done to analyze the generated surface roughness and fiber-matrix interface crack generation. Five different cutting depths and four individual fiber orientations have been tested both numerically and experimentally. Significant influence of cutting depths to the cutting force has been found and the surface quality of newly generated machined part is discovered as a function of cutting depth and fiber orientation.


2020 ◽  
Vol 54 (10) ◽  
pp. 2387-2417 ◽  
Author(s):  
Charles H. Patti ◽  
Maria M. van Dessel ◽  
Steven W. Hartley

Purpose How can customer service be so bad in an era when companies collect endless data on customer interactions? The purpose of this paper is to contribute to the important challenge of elevating customer service delivery by providing guidelines for when and how to select optimal measures of customer service measurement using a new decision framework. Design/methodology/approach The paper uses a comprehensive, multi-dimensional review of extant literature related to customer service, journey mapping and performance measurement and applied a qualitative, taxonomic approach for model development. Findings A process model and customer journey mapping framework can facilitate the selection and application of appropriate and relevant customer service experience metrics to enhance customer service experience strategies, creation and delivery. Research limitations/implications The taxonomy of customer service metrics is limited to current publicly and commercially available metrics. The dynamic nature of the customer service environment necessitates continuous updates of the model and framework. Practical implications Selection of customer service performance measures should match relevant stages of the customer journey; use perception-based, operational and outcome-based metrics that track employee and customer behaviours; improve omni-channel measurement; and integrate data-sharing and benchmark measurement initiatives through collaboration with customer service communities. Originality/value A reimagined perspective is offered to the complex challenge of measuring and improving customer service, providing a new decision-making framework for customer service experience measurement and guidance for future research.


Sign in / Sign up

Export Citation Format

Share Document