First, try to find the broad category of material (such as in Table A-5). Visual, magnetic, and scratch tests are fast and inexpensive, so should all be done. Results from these three would favor steel, cast iron, or maybe a less common ferrous material. The expectation would likely be hot-rolled steel. If it is desired to confirm this, either a weight or bending test could be done to check density or modulus of elasticity. The weight test is faster. From the measured weight of 7.95 \mathrm{lbf}, the unit weight is determined to be
w=\frac{W}{A l}=\frac{7.95 \mathrm{lbf}}{\left[\pi(1 \mathrm{in})^{2} / 4\right](36 \mathrm{in})}=0.281 \mathrm{lbf} / \mathrm{in}^{3} \doteq 0.28 \mathrm{lbf} / \mathrm{in}^{3}
which agrees well with the unit weight of 0.282 \mathrm{lbf} / \mathrm{in}^{3} reported in Table A-5 for carbon steel. Nickel steel and stainless steel have similar unit weights, but surface finish and darker coloring do not favor their selection. To select a likely specification from TableA-20, perform a Brinell hardness test, then use Eq. (2-21) to estimate an ultimate strength of S_{u}=0.5 H_{B}=0.5(200)=100 \mathrm{kpsi}. Assuming the material is hot-rolled due to the rough surface finish, appropriate choices from Table A-20 would be one of the higher carbon steels, such as hot-rolled AISI 1050,1060 , or 1080 .
Eq. (2-21),
S_{u}= \begin{cases}0.5 H_{B} & \text { kpsi } \\ 3.4 H_{B} & \mathrm{MPa}\end{cases}
2.22
First, try to find the broad category of material (such as in Table A-5). Visual, magnetic, and scratch tests are fast and inexpensive, so should all be done. Results from these three favor a softer, non-ferrous material like aluminum. If it is desired to confirm this, either a weight or bending test could be done to check density or modulus of elasticity. The weight test is faster. From the measured weight of 2.90 \mathrm{lbf}, the unit weight is determined to be
w=\frac{W}{A l}=\frac{2.9 \mathrm{lbf}}{\left[\pi(1 \mathrm{in})^{2} / 4\right](36 \mathrm{in})}=0.103 \mathrm{lbf} / \mathrm{in}^{3}=0.10 \mathrm{lbf} / \mathrm{in}^{3}
which agrees reasonably well with the unit weight of 0.098 \mathrm{lbf} / \mathrm{in}^{3} reported in Table A-5 for aluminum. No other materials come close to this unit weight, so the material is likely aluminum. .
2.23
First, try to find the broad category of material (such as in Table A-5). Visual, magnetic, and scratch tests are fast and inexpensive, so should all be done. Results from these three favor a softer, non-ferrous copper-based material such as copper, brass, or bronze. To further distinguish the material, either a weight or bending test could be done to check density or modulus of elasticity. The weight test is faster. From the measured weight of 9 \mathrm{lbf}, the unit weight is determined to be
w=\frac{W}{A l}=\frac{9.0 \mathrm{lbf}}{\left[\pi(1 \mathrm{in})^{2} / 4\right](36 \mathrm{in})}=0.318 \mathrm{lbf} / \mathrm{in}^{3} \doteq 0.32 \mathrm{lbf} / \mathrm{in}^{3}
which agrees reasonably well with the unit weight of 0.322 \mathrm{lbf} / \mathrm{in}^{3} reported in Table A-5 for copper. Brass is not far off \left(0.309 \mathrm{lbf} / \mathrm{in}^{3}\right), so the deflection test could be used to gain additional insight. From the measured deflection and utilizing the deflection equation for an end-loaded cantilever beam from Table A-9, Young’s modulus is determined to be
E=\frac{F l^{3}}{3 I y}=\frac{100(24)^{3}}{3\left(\pi(1)^{4} / 64\right)(17 / 32)}=17.7 \mathrm{Mpsi}
which agrees better with the modulus for copper (17.2 Mpsi) than with brass (15.4 Mpsi). The conclusion is that the material is likely copper.
Table A–20
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
AISI No. |
Treatment |
Temperture °C (°F) |
Tensile Strength,Mpa (kpsi) |
Yield Strength,Mpa (kpsi) |
Elongation,% |
Reducation in Area , % |
Brinell Hardness |
1030 |
Q&T* |
205(400) |
848(123) |
648(94) |
17 |
47 |
495 |
|
Q&T* |
315(600) |
800(116) |
621(90) |
19 |
53 |
401 |
|
Q&T* |
425(800) |
731(106) |
579(84) |
23 |
60 |
302 |
|
Q&T* |
540(1000) |
669(97) |
517(75) |
28 |
65 |
255 |
|
Q&T* |
650(1200) |
586(85) |
441(64) |
32 |
70 |
207 |
|
Normalized |
925(1700) |
521(75) |
345(50) |
32 |
61 |
149 |
|
Annealed |
870(1600) |
430(62) |
317(46) |
35 |
64 |
137 |
1040 |
Q&T |
205(400) |
779(113) |
593(86) |
19 |
48 |
262 |
|
Q&T |
425(800) |
758(110) |
552(80) |
21 |
54 |
241 |
|
Q&T |
650(1200) |
634(92) |
434(63) |
29 |
65 |
192 |
|
Normalized |
900(1650) |
590(86) |
374(54) |
28 |
55 |
170 |
|
Annealed |
790(1450) |
519(75) |
353(51) |
30 |
57 |
149 |
1050 |
Q&T* |
205(400) |
1120(163) |
807(117) |
9 |
27 |
514 |
|
Q&T* |
425(800) |
1090(158) |
793(115) |
13 |
36 |
444 |
|
Q&T* |
650(1200) |
717(104) |
538(78) |
28 |
65 |
235 |
|
Normalized |
900(1650) |
748(108) |
427(62) |
20 |
39 |
217 |
|
Annealed |
790(1450) |
636(92) |
365(53) |
24 |
40 |
187 |
1060 |
Q&T |
425(800) |
1080(156) |
765(111) |
14 |
41 |
311 |
|
Q&T |
540(1000) |
965(140) |
669(97) |
17 |
45 |
277 |
|
Q&T |
650(1200) |
800(116) |
524(76) |
23 |
54 |
229 |
|
Normalized |
900(1650) |
776(112) |
421(61) |
18 |
37 |
229 |
|
Annealed |
790(1450) |
626(91) |
372(54) |
22 |
38 |
179 |
1095 |
Q&T |
315(600) |
1260(183) |
813(118) |
10 |
30 |
375 |
|
Q&T |
425(800) |
1210(176) |
772(112) |
12 |
32 |
363 |
|
Q&T |
540(1000) |
1090(158) |
676(98) |
15 |
37 |
321 |
|
Q&T |
650(1200) |
896(130) |
552(80) |
21 |
47 |
269 |
|
Normalized |
900(1650) |
1010(147) |
500(72) |
9 |
13 |
293 |
|
Annealed |
790(1450) |
658(95) |
380(55) |
13 |
21 |
192 |
1141 |
Q&T |
315(600) |
1460(212) |
1280(186) |
9 |
32 |
415 |
|
Q&T |
540(1000) |
896(130) |
765(111) |
18 |
57 |
262 |
|
Q&T* |
205(400) |
1630(236) |
1460(212) |
10 |
41 |
467 |
|
Q&T* |
315(600) |
1500(217) |
1380(200) |
11 |
43 |
435 |
|
Q&T* |
425(800) |
1280(186) |
1190(173) |
13 |
49 |
380 |
|
Q&T* |
540(1000) |
1030(150) |
910(132) |
17 |
57 |
315 |
|
Q&T* |
650(1200) |
814(118) |
703(102) |
22 |
64 |
245 |
|
Normalized |
870(1600) |
670(97) |
436(63) |
25 |
59 |
197 |
|
Annealed |
865(1585) |
560(81) |
361(52) |
28 |
56 |
156 |
|
Q&T |
205(400) |
1770(257) |
1640(238) |
8 |
38 |
510 |
4140 |
Q&T |
315(600) |
1550(225) |
1430(208) |
9 |
43 |
445 |
|
Q&T |
425(800) |
1250(181) |
1140(165) |
13 |
49 |
370 |
|
Q&T |
540(1000) |
951(138) |
834(121) |
18 |
58 |
285 |
|
Q&T |
650(1200) |
758(110) |
655(95) |
22 |
63 |
230 |
|
Normalized |
870(1600) |
1020(148) |
655(95) |
18 |
47 |
302 |
|
Annealed |
815(1500) |
655(95) |
417(61) |
26 |
57 |
197 |
4340 |
Q&T |
315(600) |
1720(250) |
1590(230) |
10 |
40 |
486 |
|
Q&T |
425(800) |
1470(213) |
1360(198) |
10 |
44 |
430 |
|
Q&T |
540(1000) |
1170(170) |
1080(156) |
13 |
51 |
360 |
|
Q&T |
650(1200) |
965(140) |
855(124) |
19 |
60 |
280 |