Cold Rolling in progress

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University of Texas, Rio Grande Valley *

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3164

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Mechanical Engineering

Date

Feb 20, 2024

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docx

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8

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MANUFACTURING PROCESSES LAB MANE 3164 – 02 FALL 2023 LAB 8: COLD ROLLING INSTRUCTOR: ALEJRANDRO SANCHEZ Hugo D. Candia 10/18/2023 What to report:
1. The following figures must be included along, with their discussion: a. % of Cold Work vs Rolling Pressure b. Amount of Reduction per step vs Rolling Pressure c. Reduction Ratio vs Rolling Pressure d. % of Cold Work vs Strength e. Amount of Reduction per step vs Strength f. Reduction Ratio vs Strength 2. For each strip, calculate the total volume of metal before rolling and after by summing the volume of each piece. Estimate the error in your calculation. Are the calculated volumes within the expected error? 3. Using graphs and regression analysis, determine the effect of Annealing, the % Cold Work, amount of Reduction Per Step, and the Reduction Ratio on the Rolling Pressure and on the Strength. Calculations: Convert the rolling force strain gage reading (FRV) to lbf from the chart in the manual, or from the formula: FR = 57,711.8 * FRV. For each coupon, calculate the ultimate tensile strength (UTS). a. UTS = FT / (WC * T) b. WC is the coupon width at the minimum section, FT is the tensile force. At each rolling step, calculate the average rolling pressure (PR), reduction ratio (RR) and % cold work (CW). Use the following formulae for the j th rolling step, where j=0 for the initial strip: AR j = W j * sqrt(RD * (T j-1 – T j )) PR j = FR j / AR j RR j = T j-1 / T j CW j = (T 0 -T j ) / T 0 Where AR is the effective rolling area, W is the width, RD=2” is the roll diameter, T is the strip thickness, and FR is the rolling force. Results and Analysis: Here add the 6 graphs for this lab. for the step by step instructions on how to make them look at the Cold Rolling PowerPoint. Add graph 1 (Reduction ratio vs UTS) and add trend lines on the graph.
1.1 1.15 1.2 1.25 1.3 1.35 1.4 1.45 1.5 0 5000 10000 15000 20000 25000 Reduction Ratio vs UTS A Linear (A) B Linear (B) C Linear (C) D Linear (D) Reduction Ratio UTS Figure 1. Reduction Ratio vs UTS. Here write the explanation/discussion of the graph. discuss the statistical relationship between reduction ratio and uts. Remember, a t-stat value between -1.96 & 1.96 indicates a null relationship between the variables. discuss if there is a linear relationship between the variables and why or why not. Explain why the UTS is increasing/decreasing. Explain why you think the UTS is different in each rod. Add graph 2 (Displacement vs. Drawing force) and put trend lines on the graph.
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0 10 20 30 40 50 60 0 5000 10000 15000 20000 25000 %Cold Work vs UTS A Linear (A) B Linear (B) C Linear (C) D Linear (D) %Cold Work UTS Figure 2. %Cold Work vs UTS. Here write the explanation/discussion of the graph. discuss the statistical relationship between cold work and uts. Remember, a t-stat value between - 1.96 & 1.96 indicates a null relationship between the variables. discuss if there is a linear relationship between the variables and why or why not. Explain why you think the UTS is different in each rod. Add graph 3 (Amount of Reduction vs UTS) and put trend lines on the graph. 0 0.05 0.1 0.15 0.2 0.25 0.3 0 5000 10000 15000 20000 25000 Amount of Reduction vs UTS A Linear (A) B Linear (B) C Linear (C) D Linear (D) Amount of Reduction UTS Figure 3. Amount of Reduction vs UTS.
Here write the explanation/discussion of the graph. discuss the statistical relationship between reduction and uts. Remember, a t-stat value between - 1.96 & 1.96 indicates a null relationship between the variables. discuss if there is a linear relationship between the variables and why or why not. Explain why you think the UTS is different in each rod. Explain how the reduction affect the UTS. Add graph 4 (Reduction Ratio vs Rolling Pressure) and put trend lines on the graph. 1.1 1.15 1.2 1.25 1.3 1.35 1.4 1.45 1.5 1800 1001800 2001800 3001800 4001800 5001800 6001800 7001800 Reduction Ratio vs Rolling Pressure A Linear (A) B Linear (B) C Linear (C) D Linear (D) Reduction Ratio Rolling Pressure Figure 4. Reduction Ratio vs Rolling Pressure . Here write the explanation/discussion of the graph. discuss the statistical relationship between reduction ratio and rolling pressure. Remember, a t-stat value between -1.96 & 1.96 indicates a null relationship between the variables. discuss if there is a linear relationship between the variables and why or why not. Explain why the rolling pressure is increasing/decreasing on each sample. Explain why you think the rolling pressure is different in each rod. Add graph 5 (%Cold Work vs Rolling Pressure) and put trend lines on the graph.
5 10 15 20 25 30 35 40 45 1800 1001800 2001800 3001800 4001800 5001800 6001800 7001800 8001800 9001800 10001800 Cold Work vs Rolling Pressure A Linear (A) B Linear (B) C Linear (C) D Linear (D) Cold Work Rolling Pressure Figure 5 . Cold Work vs Rolling Pressure. Here write the explanation/discussion of the graph. discuss the statistical relationship between cold work and pressure. Remember, a t-stat value between -1.96 & 1.96 indicates a null relationship between the variables. discuss if there is a linear relationship between the variables and why or why not. Explain why the rolling pressure is increasing/decreasing on each sample. Explain why you think the rolling pressure is different in each rod. Explain the effects that the rolling pressure has on the cold work.
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Add graph 6 (Amount of reduction vs Rolling Pressure) and put trend lines on the graph. 1.1 1.15 1.2 1.25 1.3 1.35 1.4 1.45 1.5 1800 1001800 2001800 3001800 4001800 5001800 6001800 7001800 Reduction Ratio vs Rolling Pressure A Linear (A) B Linear (B) C Linear (C) D Linear (D) Reduction Ratio Rolling Pressure Figure 6 . Amount of reduction vs Rolling Pressure. Here write the explanation/discussion of the graph. discuss the statistical relationship between distance and radial strain. Remember, a t-stat value between -1.96 & 1.96 indicates a null relationship between the variables. discuss if there is a linear relationship between the variables and why or why not. Conclusion: Here discuss the data and results from tables and regression analysis and answer the following: - Comment on the reliability of you results. -For each strip, calculate the total volume of metal before rolling and after by summing the volume of each piece. Estimate the error in your calculation. Are the calculated volumes within the expected error?
- Using graphs and regression analysis, determine the effect of Annealing, the % Cold Work, amount of Reduction Per Step, and the Reduction Ratio on the Rolling Pressure and on the Strength. -Discuss the effects that cold rolling had on the aluminum. Does the yield strength increased/decreased why? What about UTS and hardness? References: Manufacturing Lab Manual " Cold Rolling Lab" Appendix: Here add data and regression analysis tables and your calculations(all data tables should be on excel).