The Determination of Additive Effects in a Japanese Valve Train Wear Test Using an Orthogonal Statistical Design

1983 ◽  
Author(s):  
Magane Matsuoka ◽  
Takeji Arifuku ◽  
Masaaki Aoki ◽  
Richard C. Coy
Keyword(s):  
Statistical Design ◽  
Wear Test ◽  
Valve Train ◽  
Additive Effects

Determination of Steady-State Adhesive Wear Rate

2005 ◽  
Author(s):  
L. J. Yang
Keyword(s):  
Steady State ◽  
Wear Rate ◽  
Wear Test ◽  
Standard Test ◽  
Test Method ◽  
Testing Time ◽  
Wear Coefficient ◽  
Wear Rates ◽  
Test Methodology

Wear rates obtained from different investigators could vary significantly due to lack of a standard test method. A test methodology is therefore proposed in this paper to enable the steady-state wear rate to be determined more accurately, consistently, and efficiently. The wear test will be divided into four stages: (i) to conduct the transient wear test; (ii) to predict the steady-state wear coefficient with the required sliding distance based on the transient wear data by using Yang’s second wear coefficient equation; (iii) to conduct confirmation runs to obtain the measured steady-state wear coefficient value; and (iv) to convert the steady-state wear coefficient value into a steady-state wear rate. The proposed methodology is supported by wear data obtained previously on aluminium based matrix composite materials. It is capable of giving more accurate steady-state wear coefficient and wear rate values, as well as saving a lot of testing time and labour, by reducing the number of trial runs required to achieve the steady-state wear condition.

Dynamic Simulation and Test for the Valve Train Dynamics

2011 ◽  
Vol 117-119 ◽  
pp. 15-19 ◽  
Author(s):  
Cai Yun Guan ◽  
You Ming Chen ◽  
Wen Jie Qin
Keyword(s):  
Dynamic Model ◽  
Contact Stiffness ◽  
Quantitative Agreement ◽  
Measured Data ◽  
Valve Train ◽  
Parameter Determination ◽  
Cam Follower ◽  
Train Dynamics ◽  
Simulation Results

This paper presents the development of a dynamic model of the valve train of one engine. During the parameter determination of the model, finite element method is used to calculate the contact stiffness of the cam-follower . The simulation results of the model are compared with measured data of the valve train at same speed. Excellent quantitative agreement is found between the numerical and experimental results and the validity of the dynamic model can be verified.

Effects of Lubrication on the Wear Parameters of Metals Using Pin-on-Disk Test Rig

2019 ◽  
pp. 1-12
Author(s):  
C. F. Onyeanusi ◽  
S. C. Nwigbo ◽  
N. B. Anosike ◽  
C. A. Nwajude
Keyword(s):  
Friction And Wear ◽  
Palm Kernel ◽  
Frictional Coefficient ◽  
Wear Test ◽  
Test Rig ◽  
Wear Pattern ◽  
The Coefficient Of Friction ◽  
Pin On Disk ◽  
Disk Test

Friction and wear control of movable parts in machines remain a critical challenge in the industries. Determination of measurement to control this often involves both the material and the lubricant. A wear test experiment using pin-on-disk apparatus to determine the wear pattern on a sample of aluminium and copper materials, lubricated with vegetable oil of palm kernel origin was conducted. Wear parameters, which include frictional coefficient, wear rate, and heat generation (temperature) were evaluated alongside thermal stress-strains on the pin on disk. Results showed that under the same conditions, the coefficient of friction reduces with the application of lubricant up to 84% and 7% for aluminium and copper respectively. The wear pattern for both materials when lubricated were evaluated and compared with dry condition to establish the relationships.

Comparison Between the Economic-Statistical Design of Double and Triple Sampling X ¯ \bar{X} Control Charts

2017 ◽  
Vol 32 (1) ◽  
Author(s):  
Azamsadat Iziy ◽  
Bahram Sadeghpour Gildeh ◽  
Ehsan Monabbati
Keyword(s):  
Optimal Control ◽  
Quality Control ◽  
Control Chart ◽  
Control Charts ◽  
Statistical Design ◽  
Sampling Interval ◽  
Point Of View ◽  
Double Sampling ◽  
Control Limits

AbstractControl charts have been established as major tools for quality control and improvement in industry. Therefore, it is always required to consider an appropriate design of a control chart from an economical point of view before using the chart. The economic design of a control chart refers to the determination of three optimal control chart parameters: sample size, the sampling interval, and the control limits coefficient. In this article, the double sampling (DS)

scholarly journals The Determination of Additive Effects

1915 ◽  
Vol 60 (3) ◽  
pp. 228-234
Author(s):  
W. J. V. Osterhout
Keyword(s):  
Additive Effects

Experimental Determination of Fuel Additive Effects on Leidenfrost Temperature and Deposit Formation

1993 ◽  
Author(s):  
Thomas J. Mach ◽  
Rodney L. Sung ◽  
Peter M. Liiva ◽  
William P. Acker ◽  
J. Christian Swindal ◽  
...  
Keyword(s):  
Experimental Determination ◽  
Fuel Additive ◽  
Additive Effects ◽  
Deposit Formation ◽  
Leidenfrost Temperature
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