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ENSC1004 Engineering Materials
Creation date：2024-05-10 16:07:43
Belonging category：土木工程civil engineering
Engineering Materials
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ENSC1004 

Engineering Materials
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ENSC1004
Engineering Materials
Engineering Materials
SEMESTER 1, 2021 EXAMINATIONS
Engineering
Mathematics & Statistics
This paper contains: 8 Pages (including title page) Time Allowed: 2:00 hours
INSTRUCTIONS:
• This exam paper contains 7 (seven) questions
• This exam paper is worth a total 65 marks
• You are required to answer all questions. You may answer Q3 directly in the exam paper. Answer all other
questions in the answer booklet provided.
• A Supplementary Formula and Data Sheet is attached to the back of this exam paper. You may detach this
for easy referencing, and it is NOT required to be handed back at the end of the exam.
• Only a UWA-approved calculator is permitted.
THIS IS A CLOSED BOOK EXAMINATION (SEE ALLOWABLE ITEMS)
SUPPLIED STATIONERY
1 x Formula booklet
ALLOWABLE ITEMS
1 x UWA Approved Calculator with Sticker
PLEASE NOTE
Examination candidates may only bring authorised materials into the examination room. If a supervisor finds, during the examination, that you have
unauthorised material, in whatever form, in the vicinity of your desk or on your person, whether in the examination room or the toilets or en route
to/from the toilets, the matter will be reported to the head of school and disciplinary action will normally be taken against you. This action may result
in your being deprived of any credit for this examination or even, in some cases, for the whole unit. This will apply regardless of whether the material
has been used at the time it is found.
Therefore, any candidate who has brought any unauthorised material whatsoever into the examination room should declare it to the supervisor
immediately. Candidates who are uncertain whether any material is authorised should ask the supervisor for clarification.
Candidates must comply with the Examination Rules of the University and with the directions of supervisors.
No electronic devices are permitted during the examination.
All question papers and answer booklets are the property of the University and remain so at all times.

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Final Exam Semester 1 2021 3 ENSC1004
ENSC1004 Final Exam Semester 1 2021
Question 1. (10 marks)
In one diagram, draw representative tensile stress-strain curves for a typical metal, crystalline
ceramic and polymer (typical of thermoplastics). Ensure you present the curves at reasonable
relative scales. Briefly explain the tensile stress strain behaviour in terms of stiffness, strength,
ductility and toughness, in reference to each of the stress-strain curves you have provided. Link them
to the interatomic bonding nature and/or crystal structure of these materials.
Question 2. (7 marks)
(a) Name the three classes of carbon steels and the carbon content range for each class.
(b) Describe the effect of carbon content on the mechanical property (such as strength, hardness,
ductility and toughness) and basic microstructure feature of carbon steels. Briefly explain the
reasons.
Question 3. (6 marks)
Answer directly in this booklet!
Many engineering materials are developed for specifically targeted applications. In this unit we have
learnt a range of different materials. Match each application listed in the table below with a material
in the list that would be best suited for that application. An example answer (1 - D) is given in the
Table. Note; some materials may be suitable for more than one application listed. Some may not be
suitable for any applications in the list.
List of Applications List of Materials Answer
1 Surgical implants A Stainless steel 1-D (example)
2 Drill bits B Grey cast iron
3 High voltage power lines C Aluminium alloys
4 Propeller for ocean liners D Ti-6Al-4V
5 Railway tracks E SiC
6 Commercial kitchen sinks F Nodular cast iron
7 Engine blocks G Tungsten metal
8 Crankshaft of light aircraft H High carbon steels
9 Filament incandescent light bulb J Bronze
10 Insulation for industrial furnace K Magnesium
11 Sacrificial anode L Medium carbon steels
12 Sandpapers for polishing M Porous Al2O3 block
13 -beams for building structures

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Final Exam Semester 1 2021 4 ENSC1004
Question 4. (4 marks)
An electrochemical cell is composed of pure Cr and pure Ni electrodes immersed in solutions of their
own ions. If this galvanic cell is set up under standard conditions, what would happen (increased,
decreased or unchanged) to the following after a period of time?
(a) the output voltage (cell potential) of the galvanic cell
(b) the anode reduction potential (identify the anode)
(c) the cathode reduction potential (identify the cathode)
(d) the concentration of the Cr3+ in its cell
(e) the concentration of the Ni2+ in its cell
(f) What will the cell voltage be when above changes eventually stop?
Question 5. (10 marks)
Rivets are widely used in domestic and industry
applications to fasten objects in place. Shown in the
diagram is an illustration of three rivets on part of a
plate submerged in seawater. For each of the cases
listed below, answer the following:
(a) Will corrosion occur?
(b) If yes, what may be the form of corrosion? Briefly describe the corrosion behaviour. Write
potential reduction reaction(s) likely to accompany the corrosion.
(c) If not, explain your reasons?
Case (1): If we have brass rivets in a carbon steel plate.
Case (2): If we have stainless steel rivets in a stainless steel plate (the rivets and plate are made
of exactly same grade of stainless steel).
Question 6. (8 marks)
304 stainless steels are widely used for its excellent corrosion resistance in common industrial and
household environments. They typically contain 8-10.5 wt% Ni and 18-20 wt% of Cr. It is well-
known that stainless steels are corrosion resistant due to a naturally formed oxide film on their
surface. Answer the following:
(a) Write down the formula of oxide film that protects the 304 stainless steel.
(b) What is the typical formation mechanism of a metal oxide formed in atmosphere? Write an
overall reaction for the oxide formation for 304 stainless steel.
(c) At high application temperatures, this oxide film may grow in thickness. Briefly explain how this
oxide film would grow, knowing that it is a cation-deficient oxide.
(d) Do you think the thicker the oxide film, the better it is for the 304 stainless steel? Why?

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Final Exam Semester 1 2021 5 ENSC1004
Question 7. (20 marks)
Consider a cylindrical component of an aircraft, 120 in length. During flight, the cyclic load on
the component fluctuates at a mean load of 20 and load ratio 0.4. During landing, the component
can experience a peak tensile load of 60 . Aircraft maintenance regularly checks for surface
cracks on the component, with a detection limit of 1 . Determine the required minimum diameter
of the component, given the following:
• You may assume all loads have already factored in appropriate design and safety factors
• The component is made of 4340 alloy steel, which has a yield strength of 1.0 , fracture
toughness of 30 √ and a geometric parameter = 1.0
Case category
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EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 MGMTMFE 405 25579 1ECE 273 M122 COMP4434 1ELEC ELEC5620M STAT0010 BFF2401 MXB361 MATH3811 CS330 CMT307 FIT1033 CptS 583 UP 431 MATH6005 AF5343 CS2435 ECOM30002 ES50061 CS 2506 ECMT6002 CODE 00099F MT4539 ESSAY ICM317 MATH1231 MFIT5010 BMA547 MATH334 CIVL2201 MATH39032 T-04 CIVE97119 EMESTER CAB302 CAB301 59PM STAT802 ISYS3412 RM3 COSC 2123 AcF 311 MATH2022 1FINAL 4CCS1PHC ICM 142 ENVS3023 Math 4023 I1 ACSE8 FIN B385F CS-275 STA 4109-01 A31021 EE140 MT1 EE124 ECO-6004B Inf2-IADS CS126 IS2184 UL18 MATH5092 ECOM009 COMP 6211 ELEC202 MKT3019 IAB230 FIT5046 584-S21 COMP3210 CO250 A29401 MATH 136 MGT6174 ECMT6007 DATA2001 MAT 443 MATH10222 PHDE0071 ELE00123M COSC1295 MAT00045H MATH32032 1004GRC MAS223 COMP10001 DATA3404 CIVL2110 STAT2008 FNCE10002 EEE6431 COM6515 COMP9120 NBS8185 ECTE942 ECON 405 MATH314301 STAT 2011 COMPSCI 350 COMP20007 CMPSC-132 ECON5002 STA 35 MTH6108 FIT5147 MTH6150 100C FINA 5260 DESC9115 ECON4998 NBS8257 GMM ECON 6070 BSA2 ECE599 STATS 102B STA120 INFS601 BFC3241 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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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