Process Capability Analysis

Process Validation and capability analysis of Clutch collar
Karthikal Gowda.A.K 1, Swaroop Shreekanth Hegde2
1,2 8thsem, Dept of Mechanical Engineering, ATMECE, Mysore

Guide- Deepak M.V.S3, K.M.Subbaiah4
3AsstProfessor, Dept of Mechanical Engineering, ATMECE,, Mysore, 4Professor Department of I&P Engineering, , The National Institute of Engineering, Mysore, Karnataka, India.
Email- [e-mail]. [e-mail]

Abstract A measurement control system ensures that measuring equipment and measurement processes are fit for their intended use and it’s important in achieving product quality objectives. Process capability analysis is an important element of any quality improvement initiative. However, estimating process capability

To study the Process Capabilities of Clutch collar.
2. To predict current and future capability of the process to produce product within specification in the company.

II. PROCESS CAPABILITY ANALYSIS
2.1 Process Capability
Process capability studies are used for monitoring the capability of a process. This implies that it has to be based on some sort of collection of data from the process. In order to get a fair picture of the capability of the process, it has to be stable when the data is collected. After the collection of data from a process, the data may be assessed in several ways. One way to do the assessment is to use process capability indices, which provide numerical measures of the capability.

Capability Requirement:
In current practice, a process is called ``Not Capable'' if Cpk < 1.00; it indicates that the process is not adequate with respect to the production tolerances specifications, either process variation needs to be reduced or process mean needs to be shifted closer to the target value.
A process is called capable if Cpk ≥1.33 it indicates that it is highly capable process.
A process is barely capable if Cpk is 1 to 1.33; it indicates that process quality is satisfactory.

2.2. Process capability study

Select Critical Parameter: Critical parameters need to be selected before the study begins. Critical parameters may be established from drawings, inspection instructions, work instructions, etc.

2. Collect Data: A data collection system needs to be established to assure that the appropriate data is collected. It is preferable to collect at least 40-50 data values for each critical parameter. If this is not possible, corrections can be made to adjust for the error that is introduced when less than 40 data values are collected.

3. Establish Control over the process
A distinction between product and process should be made at this point. The product is the end result from the process. The product may be a physical item (Example: fabricated part). One may control the process by measuring and controlling parameters of the product directly or measuring and controlling the inputs to the process. It is ultimately desirable to establish control over the process by controlling the process inputs. On the other hand, process capability indices are always performed using the critical parameters of the