A Reusable Unit Process Life Cycle Inventory Model for Infeed Centerless Grinding

2021 ◽  
Author(s):  
Marija Glišić ◽  
Badrinath Veluri ◽  
Devarajan Ramanujan
Keyword(s):  
Life Cycle ◽  
Life Cycle Inventory ◽  
High Volume ◽  
Inventory Model ◽  
Manufacturing Processes ◽  
Technical Documentation ◽  
Unit Process ◽  
High Volume Production ◽  
Centerless Grinding ◽  
Grinding Machine

Abstract Environmental impact minimization is an important aspect for improving the sustainability performance of manufacturing processes. Quantifying the environmental impacts of unit manufacturing processes requires systematic modeling of process life cycle inventories. This paper develops an inventory model for infeed centerless grinding based on the unit process life cycle inventory methodology. The developed model estimates the energy consumption, material losses, and consumable fluids, for a typical high-volume production setup. Process consumption data is estimated from parameters directly used for process setup as well as machine and tool specifications that can be easily obtained from technical documentation and product geometrical specification. The developed model is demonstrated using a case study involving the infeed centerless grinding of an Inconel 718 shaft on a Cincinnati Twin-Grip Centerless Grinding Machine.

An Adaptive Statistically Based Controller for Through-Feed Centerless Grinding

2000 ◽  
Vol 123 (3) ◽  
pp. 380-386 ◽  
Author(s):  
Richard W. Cowan ◽  
Daniel J. Schertz ◽  
Thomas R. Kurfess
Keyword(s):  
Standard Deviation ◽  
Statistical Approach ◽  
High Volume ◽  
Manufacturing Processes ◽  
Control Methods ◽  
Statistical Control ◽  
Accuracy And Precision ◽  
Self Tuning ◽  
Centerless Grinding ◽  
The Mean

The purpose of this research is to develop a statistically based controller that is “self-tuning.” High volume manufacturing processes such as through-feed centerless grinding are best controlled with a statistical approach, but traditional methods of statistical control generally rely on fixed parameters that must be determined. These values must be precisely known and the true physical characteristics they model must remain constant throughout grinding, or traditional statistical control methods may break down. The mean and standard deviation of a process are measures of its accuracy and precision. The scheme developed here makes control decisions based on the real-time values of these quantities. This self-adjusting ability can compensate for changes in machine parameters as they occur.

EFFECT OF PET PARISON SIZE ON INJECTION MOULDING MOULD DESIGN

2015 ◽  
Vol 76 (6) ◽  
Author(s):  
Najiy Rizal Suriani Rizal ◽  
Aidah Jumahat ◽  
Ummu Raihanah Hashim ◽  
Mohd Sobri Omar
Keyword(s):  
Injection Moulding ◽  
Low Cost ◽  
High Volume ◽  
Manufacturing Processes ◽  
Light Weight ◽  
Thermoplastic Material ◽  
High Volume Production ◽  
Volume Production ◽  
Mould Design ◽  
Main Component

Injection molding is one of the most popular manufacturing processes for producing good finishing plastic products with low cost and high volume production, especially for the production of plastic bottles. In order to produce high quality plastic bottle with specific size, the injection moulding mould need to be properly designed. This study is aimed to design injection moulding mould for producing three different sizes of Polyethylene Terephthalate (PET) parison. The actual dimensions of a commercial bottle preform of parisan of 25g weight were measured. PET was used as thermoplastic material because it has good strength and light weight properties. The designing process involved two primary components; (1) Female section consists of cavity plate as the main component and (2) male section consists of core plate as the main component. The effect of parisan size on the mould design was evaluated. Three different designs of female and male sections were constructed using CATIA software based on 15g, 20g and 30g parisan weight. The designs were also compared to the existing mould system of 25g PET parisan. It was shown that the design of insert cavity of female section and core cavity of male section were highly influenced by the size of the preform.

scholarly journals Energy consumption model of plasma spraying based on unit process life cycle inventory

2020 ◽  
Vol 9 (6) ◽  
pp. 15324-15334 ◽  
Author(s):  
Liming Wang ◽  
Xueju Ran ◽  
Yanle Li ◽  
Fangyi Li ◽  
Jing Liu ◽  
...  
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Plasma Spraying ◽  
Life Cycle Inventory ◽  
Unit Process ◽  
Energy Consumption Model ◽  
Consumption Model

Unit Process Life Cycle Inventory Models of Hot Forming Processes

2013 ◽  
Author(s):  
Jennifer J. Buis ◽  
John W. Sutherland ◽  
Fu Zhao
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Process Improvement ◽  
Life Cycle Inventory ◽  
Sustainable Manufacturing ◽  
Hot Forming ◽  
Process Conditions ◽  
Machining Processes ◽  
Unit Process ◽  
Starting Point

Life cycle assessment (LCA) is a widely used tool to evaluate the environmental profile of a product or process, and can serve as a starting point for product and process improvement. Using LCA to support sustainable product design and sustainable manufacturing has recently attracted increasing interest. Unfortunately, the available life cycle inventory databases have very limited coverage of manufacturing processes. To make matters worse, the available datasets are either highly aggregated or consider only selected processes and process conditions. In addition, in the case of the latter, the data provided may be based on limited measurements or even just estimates. This raises questions on applicability of these databases to manufacturing process improvement where different operating parameters and conditions are adopted. Recently a novel methodology called “unit process life cycle inventory” or “uplci” has been proposed to address these issues, and models for several machining processes (e.g., turning, milling, and drilling) and joining (e.g, submerged arc welding) have been developed. This paper follows the uplci approach and develops models for a series of hot forming processes, including billet heating, performing, and indirect extrusion. It is shown that the model predictions on energy consumption are in good agreement with data measured on a production line. For hot forming processes, the results suggest that billet heating dominates the overall energy consumption and the carbon footprint relative to the deformation steps.

scholarly journals Expansion of the Petroleum Refinery Life Cycle Inventory Model to Support Characterization of a Full Suite of Commonly Tracked Impact Potentials

2019 ◽  
Vol 53 (4) ◽  
pp. 2238-2248 ◽  
Author(s):  
Ben Young ◽  
Troy Hottle ◽  
Troy Hawkins ◽  
Matthew Jamieson ◽  
Gregory Cooney ◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Inventory ◽  
Petroleum Refinery ◽  
Inventory Model

Reusable unit process life cycle inventory for manufacturing: grinding

2017 ◽  
Vol 11 (6) ◽  
pp. 643-653 ◽  
Author(s):  
Barbara Linke ◽  
Michael Overcash
Keyword(s):  
Life Cycle ◽  
Life Cycle Inventory ◽  
Unit Process

scholarly journals A Life-Cycle Inventory Model of Municipal Solid Waste Combustion

2000 ◽  
Vol 50 (6) ◽  
pp. 993-1003 ◽  
Author(s):  
Kenneth W. Harrison ◽  
Robert D. Dumas ◽  
Morton A. Barlaz ◽  
Subba R. Nishtala
Keyword(s):  
Life Cycle ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Life Cycle Inventory ◽  
Inventory Model ◽  
Waste Combustion
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