Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain Cutting
A better understanding of saw-chain cutting mechanics is needed for more efficient chainsaw designs. The effects of varying key parameters such as workpiece moisture content, workpiece density, cutting velocity, and depth-of-cut, while established for other types of cutting, are largely unexplored a...
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| Format: | Article |
| Language: | English |
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North Carolina State University
2015-09-01
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| Series: | BioResources |
| Subjects: | |
| Online Access: | http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_10_4_7273_Otto_Velocity_Saw_Chain_Cutting |
| _version_ | 1818333757894033408 |
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| author | Andrew Otto John Paul Parmigiani |
| author_facet | Andrew Otto John Paul Parmigiani |
| author_sort | Andrew Otto |
| collection | DOAJ |
| description | A better understanding of saw-chain cutting mechanics is needed for more efficient chainsaw designs. The effects of varying key parameters such as workpiece moisture content, workpiece density, cutting velocity, and depth-of-cut, while established for other types of cutting, are largely unexplored and/or unpublished for saw chains. This study contributes to filling this gap through experimentation and analysis. Experiments were conducted using a custom-built saw-chain testing apparatus to measure relevant forces over a range of workpiece moisture contents, workpiece densities, cutting velocities, and depths-of-cut. Analysis consisted of fitting linear regression models to experimental data, identifying trends, and exploring optimum cutting conditions. Results showed that over the range of values included in the study, workpiece moisture content and density had effects that depended on the depth-of-cut. Cutting velocity had a small effect, and depth-of-cut had a large effect. All trends fit well with linear models; however, depth-of-cut required one linear fit for small-to-mid values and a second fit for mid-to-large values. Maximum efficiency was found to occur at a depth-of-cut equal to the transitional value between fits. These results provide basic relationships that can lead to the more effective and efficient use and design of chainsaws. |
| first_indexed | 2024-12-13T13:56:43Z |
| format | Article |
| id | doaj.art-243a780c2d614b7aa70207c0581aca0a |
| institution | Directory Open Access Journal |
| issn | 1930-2126 1930-2126 |
| language | English |
| last_indexed | 2024-12-13T13:56:43Z |
| publishDate | 2015-09-01 |
| publisher | North Carolina State University |
| record_format | Article |
| series | BioResources |
| spelling | doaj.art-243a780c2d614b7aa70207c0581aca0a2022-12-21T23:42:52ZengNorth Carolina State UniversityBioResources1930-21261930-21262015-09-011047273729110.15376/biores.10.4.7273-7291Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain CuttingAndrew Otto0John Paul Parmigiani1Department of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331 USA; United StatesDepartment of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331 USA; United StatesA better understanding of saw-chain cutting mechanics is needed for more efficient chainsaw designs. The effects of varying key parameters such as workpiece moisture content, workpiece density, cutting velocity, and depth-of-cut, while established for other types of cutting, are largely unexplored and/or unpublished for saw chains. This study contributes to filling this gap through experimentation and analysis. Experiments were conducted using a custom-built saw-chain testing apparatus to measure relevant forces over a range of workpiece moisture contents, workpiece densities, cutting velocities, and depths-of-cut. Analysis consisted of fitting linear regression models to experimental data, identifying trends, and exploring optimum cutting conditions. Results showed that over the range of values included in the study, workpiece moisture content and density had effects that depended on the depth-of-cut. Cutting velocity had a small effect, and depth-of-cut had a large effect. All trends fit well with linear models; however, depth-of-cut required one linear fit for small-to-mid values and a second fit for mid-to-large values. Maximum efficiency was found to occur at a depth-of-cut equal to the transitional value between fits. These results provide basic relationships that can lead to the more effective and efficient use and design of chainsaws.http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_10_4_7273_Otto_Velocity_Saw_Chain_CuttingChainsawSaw chainLinear regressionCutting forcesCutting efficiency |
| spellingShingle | Andrew Otto John Paul Parmigiani Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain Cutting BioResources Chainsaw Saw chain Linear regression Cutting forces Cutting efficiency |
| title | Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain Cutting |
| title_full | Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain Cutting |
| title_fullStr | Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain Cutting |
| title_full_unstemmed | Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain Cutting |
| title_short | Velocity, Depth-of-Cut, and Physical Property Effects on Saw Chain Cutting |
| title_sort | velocity depth of cut and physical property effects on saw chain cutting |
| topic | Chainsaw Saw chain Linear regression Cutting forces Cutting efficiency |
| url | http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_10_4_7273_Otto_Velocity_Saw_Chain_Cutting |
| work_keys_str_mv | AT andrewotto velocitydepthofcutandphysicalpropertyeffectsonsawchaincutting AT johnpaulparmigiani velocitydepthofcutandphysicalpropertyeffectsonsawchaincutting |