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Graduate courses

Departments' graduate courses for PhD-students.


Syllabus for

Academic year
IMS055 - Non-Destructive Testing (NDT) in quality assessment and process control  
Kvalitetssäkring och processtyrning baserat på oförstörande provning
Syllabus adopted 2020-10-29 by Head of Programme (or corresponding)
Owner: MPAEM
7,5 Credits
Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Education cycle: Second-cycle

The course round is cancelled. For further questions, please contact the director of studies MPAEM: MATERIALS ENGINEERING, MSC PROGR, contact information can be found here

Teaching language: English
Application code: 09116
Open for exchange students: Yes

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0119 Examination 7,5c Grading: TH   7,5c   13 Jan 2021 pm J   09 Apr 2021 am J,  16 Aug 2021 am J

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Håkan Wirdelius

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General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

Basic Material Engineering and Solid Mechanics courses corresponding to Mechanical Engineering Bachelor.


The course aims at improving the knowledge about non-destructive testing technologies and their industrial applications with focus on its role for process monitoring and process control and development. Generally, data is collected to aggregate information that reinforce the knowledge different roles and functions needs to take all sorts of decisions. The same data may be used for different kind of decisions by different roles with different requirements. Therefore, the whole infrastructure for effective use of data needs to be considered: how it is collected, handled, analysed and visualized in relation to the function that needs it. In quality assessment, for example, there is different requirements of the precision if used to take go/no-go decision on a single product if the data will be used for process monitoring. Data separated from its context quickly loses its sense and no decision can be better than the quality of the data initially collected.

Learning outcomes (after completion of the course the student should be able to)

  • Describe the basics of the most important non-destructive testing techniques and their capacity/limitations in different applications.
  • Apply some of these methods in practical applications and provide with crucial understanding of the difficulties in the interpretation of the provided signal response.
  • Based on above understand why mathematical modelling of the physics is necessary to understand the correlation between NDT signals and e.g. material properties, defect parameters, and methodology characteristics.
  • Provided examples of NDE applied in quality assessment in various industries and purposes give an insight in possibilities provided by models that can predict the outcome of a technique; often empirical models based on both the NDT data and simulations (meta modelling).
  • Distinguish between technique (NDT), method (NDE) and quantification of its capability (QNDE).
  • Describe the basic degradation mechanisms that are relevant and thus addressed with in-service inspections.
  • Analyse and communicate methodology and conclusions from research published in scientific literature.


Methods and techniques addressed within the course are as follows:
  • Defects introduced during manufacturing, welding (pores, lack of fusion, ¿) and in-service induced cracks (corrosion, fatigue, SCC ...)
  • Process monitoring and In-service inspection (ISI)
  • NDT methods and the physics they are based on.
  • Examples of material properties and other quality aspects that can be estimated by using different NDE methods
  • Quantitative Non-Destructive Evaluation (QNDE) and Probability Of Detection (POD)
  • Mathematical modelling and application of NDE simulations
  • Risk based inspection (RBI)


The course intends to give the participants basic insight into several NDT methods and the handling of them. It also addresses their ability to detect, characterize and size relevant defects. The course contains both lectures and practical NDT labs. The software simSUNDT will be used to deepen the understanding of ultrasound as an NDT method and supplement the laboratory work in this endeavor.


"Nondestructive evaluation: theory, techniques and application" by Peter J. Shull (Marcel Dekker) available as e-book. Handouts from lectures will be made available at the homepage.

Examination including compulsory elements

Laboratory sessions (2) and study visit are compulsory. During the fourth week a well written report describing the NDT methods (physics, applications, advantages and disadvantages) can provide with up to 4 points at the examination (16 points to grade 3). Corrections of the reports are done by fellow students during a lecture in week 4 (also gives 1 point). Written examination.

Page manager Published: Thu 04 Feb 2021.