- Open Access
- Total Downloads : 212
- Authors : Aniket R Shitole Deshmukh, Aniket A Deshmukh, Rohit N Bhoge, Digvijay A Mahajan
- Paper ID : IJERTV6IS040684
- Volume & Issue : Volume 06, Issue 04 (April 2017)
- DOI : http://dx.doi.org/10.17577/IJERTV6IS040684
- Published (First Online): 29-04-2017
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
The Process FMEA Tool for Boring Operation of Crankshaft to Enhance Quality and Efficiency
Aniket R. Shitole Deshmukp, Aniket A.Deshmukp, Rohit N. Bhoge3, D.A. Mahajan4 1,2,3B.E. Student, Dept., of Mechanical Engg., NBN, Ambegaon, Pune, Maharashtra, India 4Professor, Dept., of Mechanical Engg., NBN, Ambegaon, Pune, Maharashtra, India
AbstractThe FMEA is a operative tool to detect and fully recognize potential failure modes and their causes, and the effects of failure on the system or end users, for a given product or process. It is an engineering analysis that systematically analyzes product designs or manufacturing processes , finds and corrects flaws before the product gets into the hands of the customer. This paper goals to identify and eliminate presentand potential problems from a manufacturing process ofcrankshaft in the company through the application ofFailure Mode and Effects Analysis (FMEA) for improving theconsistency of sub systems in order to ensure the quality whichin turn augments the foot line of a manufacturing industry.Thus the various possible causes of failure and their effectsalong with the prevention are deliberated in this work. Severitynumber, Occurrence number, Detection number and Risk PriorityNumber (RPN) are strictures, which need to bedetermined. Furthermore, some actions are anticipated whichrequire to be taken as quickly as possible to evade potentialrisks which aid to improve efficiency and effectiveness of crankshaft manufacturing processes and increase thecustomer satisfaction. The prevention endorsed in this papercan significantly decrease the loss to the industry in stretch ofboth money time and quality.
I.INTRODUCTION-
An FMEA should be the guide to the development of a complete set of actions that will decrease risk allied with the system, subsystem, and the component or manufacturing process to an satisfactory level. FMEA ultimately deals with identifying the failure modes and analyses of their effects on component.FMEA is sketchily classified into three major types, viz. System FMEA, Design FMEA, and Process FMEA. For System FMEA, the foremost objective is to improve the design of the system. While for Design FMEA, the impartial is to improve the design of the subsystem. Additionally, to improve the design of the manufacturing process, Process
Code |
Classification |
Example |
10 |
Hazardous Without Warning |
Very High Ranking Affecting safe operation |
9 |
Hazardous With Warning |
Regulatory non compliance |
8 |
Very High |
Product becomes inoperable, with loss of function Customer Very Much Dissatisfied |
7 |
High |
Product remain operable but loss of performance Customer Dissatisfied |
6 |
Moderate |
Product remain operable but loss of comfort/convenience Customer Discomfort |
5 |
Low |
Product remain operable but loss of comfort/convenience – Customer Slightly Dissatisfied |
FMEA is used.
-
Item- An item is the emphasis of the FMEA project. For a System FMEA this is the system itself. For a Design FMEA, this is the subsystem or component under analysis.For a Process FMEA, this is usually one of the specific steps of the manufacturing or assembly process under analysis, as signified by an operation description.
-
Function – A function is what the item or process is intended to do, usually to a given standard of performance or necessity.
-
Failure mode – A failure mode is the method in which the item or operation potentially fails to meet or deliver the anticipated function and associated requirements.
-
Effects An effect is the consequence of the failure on the system or end user.
-
Cause – A cause is the specific reason for the failure, preferably found by asking why until the root cause is determined. For Process FMEAs, the cause is the manufacturing or assembly deficit that results in the failure mode.
-
Severity- It is a ranking number linked with the most serious effect for a given failure mode.
Table 1. Table for Severity
II. CONCEPT OF FMEA-
Failure Mode and Effects Analysis is a tool designed to recognize potential failure modes for a product or process, to assess the risk associated with those failure modes, to rank the issues in terms of significance and to identify and carry out corrective actions contrary to most serious concerns.
In general, FMEA consists of the following points to be analysed
4
Very Low
Nonconformance by certain items Noticed
by most customers
3
Minor
Nonconformance by certain items Noticed
by average customers
2
Very Minor
Nonconformance by
certain items Noticed by selective customers
1
None
No Effect
-
Occurrence- It is a ranking number associated with the likelihood that the failure mode and its supplementary cause will be present in the item being analyzed.
-
Risk Priority Number (RPN) – It is a numerical grade of the risk of each potential failure cause, made up of the arithmetic product of the three elements: Severity, Occurrence and Detection.
i.e. R.P.N. = S*O*D.
-
Controls- They are the methods or actions currently planned, or are already in place, to reduce or eliminate the risk accompanying with each potential cause.
-
Recommended actions- They are the tasks proposed by the FMEA team to diminish or eliminate the risk associated with potential causes of failure.
Table 2: Table for Occurrence
Code |
Classification |
Example |
10 and 9 |
Very High |
Inevitable Failure |
8 and 7 |
High |
Repeated Failures |
6 and 5 |
Moderate |
Occasional Failures |
4,3 and 2 |
Low |
Few Failures |
1 |
Remote |
Failure Unlikely |
8. Detection – It is a ranking number connected with the best control from the list of detection-type controls, based on the criteria from the detection scale.
Table 3. Table for Detection
Code |
Detection |
Criteria |
1 |
Extremely Likely |
Can be corrected prior to prototype/ Controls will almost certainly detect |
2 |
Very High Likelihood |
Can be corrected prior to design release/Very High probability of detection |
3 |
High Likelihood |
Likely to be corrected/High probability of detection |
4 |
Moderately High Likelihood |
Design controls are moderately effective |
5 |
Medium Likelihood |
Design controls have an even chance of working. |
6 |
Moderately Low Likelihood |
Design controls may miss the problem. |
7 |
Low likelihood |
Design controls are likely to miss the problem |
8 |
Very low Likelihood |
Design controls have a poor chance of detection |
9 |
Very low likelihood |
Unproven, unreliable design/poor chance for detection |
10 |
Extremely Unlikely |
No design technique available/Controls will not detect |
-
Action Taken- It is the precise action that is implemented to reduce risk to an acceptable level.
-
Revised RPN It is Recalculation of Severity, Occurrence and Detection rankings after execution of recommended actions and thus calculation of revised RPN.
Revised RPN= revised (Severity× occurrence × Detection).
-
BASIC PROCEDURE FOR FMEA
-
Assemble the team.
-
Launch the ground rules.
-
Gather and review significant information.
-
Recognise the item(s) or process(es) to be analyzed.
-
Identify the function(s), failure(s), effect(s), cause(s) and control(s) for each item or process to be analyzed.
-
Evaluate the risk associated with the issues recognised by the analysis.
-
Prioritize and assign corrective actions.
-
Perform corrective actions and re-evaluate risk.
-
Allocate, review and apprise the analysis, as suitable.
-
-
CASE STUDY AND FMEA ANALYSIS
A crankshaft is main assembly part of the engine. It is found below the cylinder head. The crankshaft is an integral component of combustion engines. Piston are mounted on the crankshaft and it is responsible for motion of piston from T.D.C. to B.D.C.
Manufacturing of crankshaft consists of number of processes. Starting from selection of material, Forging, Rough machining to Finish machining crankshaft travels through different machine to carry out specific operation.
FMEA technique is applied to boring operation of crankshaft. Potential failure modes, potential causes , severity, occurrence, detection, recommended actions, etc are recorded based on the observations taken at factory floor. RPN is then calculated to analyze the risk. Recommended actions are prescribed based on the observations. Revised RPN number is calculated after recommended actions are partically implented on the shop floor.
Table 4. Table for Fmea
Subsys tem
Potent ial Failur e Mode
Potent ial Effect s of Failur
e
sev
Poten tial Cause s of Failu
re
occ
Current controls
De t
R.P. N
Recomm ended Actions
Respons ibility &Targe t completi
on date
Action Results
Preventi
on
Detecti
on
Actions
Taken
Se
v
Oc
c
De
t
RP
N
Diame ter (43.05
+/- 0.13)
Oversi ze
Loose Fitme nt
6
1.Imp roper mount ing
2.
Exces s run out
3.
Impro per input stock 4.
Mater ial Prope rties
5
1. Proper mountin g of workpiec e.
2.
Improper Steady setting. 3.
Deskille d Labour. 4.
Improper maintena nce of MQC
Sheet.
8
240
1.
Mountin g of Position Sensor. 2.
Proper Fixture used. 3.
Process Automat ed.
4.
Checkin g of parts at fixed
interval.
6
2
4
48
Under size
No Assem bly
3
1.Wor nout Tool insert. 2.
Impro per Stead y.
3.
Harde ned workp iece Mater
ial.
5
3.
From MQC
Sheet.
7
105
1.Optim um input stock set.
2.
Proper fixyure used.
3. 5 in 1 checkup of parts for material propertie s.
3
2
3
18
Depth
(34.40
+/- 0.25)
Oversi ze
No assem bly
5
1.Sem iskille d labour
.
2.
Impro per tool. 3.
Impro per Moun ting.
4
1.Appoin ting Skilled labour. 2.
Periodic Tool replacem ent
3. Proper Mountin g of Workpie ce.
1. By visual Detecti on.
2.
Improp er surface finish.
3. by Visual inspecti on.
7
140
1.Proces s automat ed on HMC. 2.
Altering the material of tool. 3.
Position sensors used for proper
allignme nt.
5
2
4
40
-
By Visual inspecti on.
-
By visual inspecti on.
-
By use of Gauge.
-
from MQC sheet
-
Use of Position sensor on HMC.
-
Proper Steady setting.
-
use of Skilled Labour. 4. Regular check for Material propertie s.
-
Replac ement of tool insert.
-
Proper oiling of steady. 3. Improper Material propertie s from MQC sheet.
-
By Visual Inspect ion.
-
By Visual Inspect ion.
-
Maintai ning preffered input stock.
-
use of fixture. 3. Regular Checkup of material priopertie s from sample.
-
Use of Automati on.
-
Use of Hard material for tool.
-
Use of Position sensors.
Under size
No Assem bly
5
1.Imp roper tool insert. 2.
Impro per input stock. 3.
Faulty measu ring instru ment.
4
1.
Visual Detecti on.
2.
Stock setup given. 3.
Using Gauges
.
6
120
1.Positio n sensor used.
2.
Validati on of porgram prior to operatio n.
3. Use of digital measuri ng instrume nt.
5
1
4
20
Runou
Excess
Out of
8
1.Imp
5
1.Check
1.Free
6
240
1.Proper
1.Accura
8
2
3
48
t with
runout
Rotati
roper
rotation
Run of
Fixture
te
respec
on
Holdi
of
workpi
designing
Fixture
t to
ng of
workpiec
ece and
.
Designe
Center
workp
e with
by
2.
d.
ing
iece
respect
visual
Automati
2. Used
(0.025)
in
to center.
detecti
c tool
Automat
Chuck
2. Tool
on.
changer
ic tool
.
change at
2. By
from
changer
2.Imp
regular
visual
Pallet.
and
roper
interval.
detecti
3. Fixed
ensured
tool
3. Check
on.
Stock
change
chang
for
3.
setup
of tool
e
Excess
Excess
using
after
freque
stock.
Heatin
automati
specific
ncy.
4. Proper
g of
on.
lot.
3.
maintane
workpi
4. Use of
3. Fixed
Exces
nce of
ece.
Presized
stock
s
measurin
4.Using
measurin
setup by
Stock.
g gauge.
Presize
g system.
use of
4.
d
5.
program
Faulty
5. Ensure
Measur
Process
ming.
Meas
oiling of
ing
automati
4. Used
uring
steady at
unit.
on.
presized
Gauge
regular
5.
measuri
.
interval.
Excess
6.
ng
5.
6.
Heat
Process
system.
Impro
Appoint
Genera
automati
5.
per
skilled
tion.
on.
Process
Pressu
Labour.
6.
Automat
re and
Visual
ed.
Settin
inspecti
6.
g of
on.
Process
Stead
Automat
y.
ed.
6.
Deskil
led
labour
.
Surfac
Rough
Bearin
7
1.Too
5
1.Tool
1.Chec
6
210
1.Tool
1.Tool
7
2
2
28
e
Surfac
g
l
replacem
king of
change
change
Finish
e
wearo
wearo
ent.
tool
after
after
Finish
ut
ut.
2.
insert.
regular
regular
2.
Maintain
2.
interval.
interval
Exces
optimum
Excess
2.
from
s
feed rate.
heating
Process
ATC.
feedra
3.
of
automati
2.
te.
Maintain
workpi
on and
Proper
3.
Optimu
ece.
proper
program
High
m speed.
3.
program
ming.
speed.
4. Depth
Visual
ming.
3.
-
Replac ement of tool insert.
-
Proper input stock setup.
-
Use of accurate measurin g instrume nt.
-
Use of sensor for detection of improper tool insert.
-
Proper program ming for cnc.
-
Use of Digital measurin g instrume nt.
4.
Exces s depth of cut. (50
micro n)
cut below 50 micron is preffered
.
detecti on.
4.
Visual detecti on.
3.
Process automati on.
4. Proper program ming.
Optimu m speed maintain ed and process automise d.
4.
Process automise d.
High Surfac e Finish
Bearin g Failur e
5
1.Des killed labour
.
2.
Dama ged tool Insert. 3.
Depth of cut of 0.1m
m.
4.
High speed of rotatio
n.
4
1.
Visual detecti on.
2.
Visual Detecti on and excess feed. 3.
Excess heating pf workpi ece.
4.
Visual detecti on.
5
100
3.
Process automise d.
4.
Process automise d.
5
1
3
15
-
Appoin tment of skilled labour.
-
tool replacem ent.
-
Proper Adjustm ent. 4.Mainta ining Optimu m speed.
-
Process Automati on.
-
Tool change after regular lot.
-
Proper Prgramm ing and process automati on.
-
Proper program ming and process automati on.
-
Proces s automise d.
-
Tool chnaged after specific lot of machini ng.
-
-
CONCLUSION
-
FMEA for Boring operation as been validated. FMEA is continuous improvement tool used in manufacturing unit. Continuous record of failures and actions taken should be noted duly and reqired changes can be made in the FMEA report. FMEA saves both, time and money of company. FMEA report has to be followed by the employer on the shop floor. It helps to eliminate the problem in less period of times hence saving time. Failure Mode,Effects and Criticality Analysis (FMECA), advancement in FMEA can been used for criticality analysis.
REFERENCES
-
Gunjan Joshi and Himanshu Joshi, FMEA and Alternatives v/s Enhanced Risk Assessment Mechanism,International Journal of Computer Applications (0975 8887),Volume 93 No 14, May 2014.
-
Failure mode and effects Analysis, http://en.wikipedia.org/wiki/Failure_mode_and_effects_analysis, 2014.
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A. A. Nannikar, D. N. Raut, M. Chanmanwar, S. B. Kamble and
D.B. Patil, FMEA for Manufacturing and Assembly Process,International Conference on Technology and Business Management,pp.26-28, March 2012.
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Ping-Shun Chen and Ming-Tsung Wu, A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study, Computers & Industrial Engineering, Issue 66, pp. 634642, 2013.