15MY52T: Statistical Quality Control Mechanical MTT 5th Sem Syllabus for Diploma DTE Karnataka C15 Scheme

Statistical Quality Control detail DTE Kar Diploma syllabus for Mechanical Engineering (Machine Tool Technology) (MY), C15 scheme is extracted from DTE Karnataka official website and presented for diploma students. The course code (15MY52T), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below. The syllabus PDFs can be downloaded from official website.

For all other mechanical mtt 5th sem syllabus for diploma c15 scheme dte karnataka you can visit Mechanical MTT 5th Sem Syllabus for Diploma C15 Scheme DTE Karnataka Subjects. The detail syllabus for statistical quality control is as follows.

Pre-requisites:

Knowledge of Basic Applied Science, Metrology and Mechanical Measurements

Course Objectives:

1. To know the basic knowledge of Statistical quality control.
2. To understand the basic concepts of sampling plan, variation and process capability.

Course Outcomes:

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INTRODUCTION TO STATISTICAL QUALITY CONTROL 06hrs

1. Introduction to Inspection, Quality, Quality control, Quality assurance and SQC
2. Difference between Inspection and Quality control
3. Application of SQC
4. Benefits of SQC
5. Tools of SQC
6. Place of inspection in an organization

BASIC STATISTICAL CONCEPTS 12 hrs

1. The Concept of Variation
1. Types of Variation
2. Reason for Variation
2. Introduction to variables and attributes
1. Distinguish between variables and attributes with examples
3. Frequency Distribution
4. Graphical Representation of Frequency Distribution like line diagram, histogram, Frequency polygon, frequency curve
5. Quantitative Description of distribution
1. Central Tendency like arithmetic mean or average, median or middle value, mode
2. Measures of dispersion like range, standard deviation and Variance
6. Normal Curve
1. Area Under Normal distribution curve
7. Simple Problems

CONTROL CHARTS FOR VARIABLES 09 hrs

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CONTROL CHARTS FOR ATTRIBUTES 08hrs

1. Practical limitations of the control chart for variables
2. Control Limits (3Sigma limits) on P chart
3. Purpose of the P chart.
4. Control limits for NP Chart
5. Essential steps in control chart
6. Comparison of X-bar and R chart with P Chart
7. Calculations of control limits on C chart
8. Comparison between attributes charts and variable chart
9. Simple Problems

TOLERANCES 07 hrs

1. Purpose of specification
2. Specifying tolerances
3. Effect of careless setting of specification limits
4. Statistical tolerance
5. Theorems on statistical tolerances
6. Simple problems

ACCEPTANCE SAMPLLING 10 hrs

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Reference Books:

1. Statistical Quality control by Douglas C Montgomery Wiley India Publications2011
2. Statistical Quality control by M.Mahajan, Dhanpat Rai & Company, New Delhi.
3. Total Quality control by Fiegunbum A.V. Mcgrawhill – Inc -1991
4. Introduction to statistical quality control. Second edition By Douglas C. Montgomery

Model Question Paper:

(CIE)

1. List applications of SQC
2. Distinguish between normal inspection and Quality control
3. Explain Types of Variation OR Explain the Histogram
4. List any ten Reason for Variation OR Explain the frequency Polygon

Note: Internal Choice may be given in each CO at the same cognitive level (CL).

Model Question Paper:

PART-A

(Answer any SIX Questions from this Section) (6 x 5) = 30

1. List applications of SQC
2. Distinguish between normal inspection and Quality control
3. Define quality control and quality assurance
4. Explain the Histogram
5. List the Objectives of the control chart
6. Explain the control chart with graph
7. List the advantages of acceptance sampling
8. Explain the Producers and customers Risk list
9. Explain Acceptable quality level (AQL)

PART-B

(Answer any SEVEN Questions from this Section) (7×10)=70

1. Explain arithmetic mean, median and mode
2. Assuming that the life in hours of electric bulb is a random variable following normal distribution with mean of 2000 hours and standard deviation of 400 hours. Find the expected number of bulbs from a random sample of 2000 bulbs having life
1. More than 3000 hours
2. Between 2600 and 2800 hours.
1. Explain the kinds of variability
2. Explain the process capability
4. Determine the control limits for X bar and R charts if sigma X bar =357.50, # R = 9.90, number of subgroups = 20 it is given by A2 = 0.18, D3 = 0.41, D4 = 1.59 and d2 = 3.735. Also find the process capability
1. Distinguish the defect and a defective
2. Distinguish attributes charts and variable chart
6. Compare the X-bar and R chart with P Chart
1. Explain the purpose of Specification
2. Explain the need of specifying Tolerances
1. Explain statistical tolerances
2. Illustrate the Theorems on statistical Tolerance
9. Two pieces AB and CD are assembled together in a mass production assembly. The average the dimension of AB is 35mm. The dimension is statistically controlled with a standard deviation of 0.2mm. The average dimension of CD is 25mm. This dimension is statistically controlled with a standard deviation of 0.15. Both dimensions are normally distributed. The average value of the combined dimension will obviously be 35+25 =60mm.The assembly of the two parts is at random. Compute the approximate values of the probability that an assembly will have a combined dimension in excess60.5mm
10. Compare the single sampling and double sampling plans

For detail syllabus of all other subjects of BE Mechanical Mtt, C15 scheme do visit Mechanical Mtt 5th Sem syllabus for C15 scheme.

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