Computer Aided Engineering (ENS 309)

2019 Spring
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Eralp Demir eralpd@sabanciuniv.edu,
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English
Undergraduate
ENS209 IE309
Formal lecture,Laboratory
Interactive,Project based learning
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CONTENT

The proposed course, Computer Aided Engineering (CAE), intends to give engineering students a computer design perspective considering manufacturing limitations. The emphasis of the course is on engineering applications and the use of a commercially available engineering software. Design applications include analysis in different physical fields such as solid mechanics, thermal, and fluid mechanics. Solidworks software environment will be used intensely throughout the class to be consistent with the Computer Aided Design (CAD) and Computer Aided Manufacturing (CAM) courses The vast majority of the course includes design applications by giving brief reference to theoretical background. First, basic concepts of a finite element model, mesh, nodes, elements, adaptive meshing will be described in a simplified manner with applications. The mechanical analysis section includes background information such as mechanical equilibrium, stress, strain, material properties. Static mechanical design applications include static analysis of parts and assemblies, stress analyses of interference fits, bolted joints, and contact analysis Dynamic mechanical analyses cover the definition of rigid and elastic bodies, discrete & distributed vibration systems, modal analysis, time response analysis (resonance, beating, etc.), and harmonic response analysis, all concepts with applications. Thermal analysis section starts with the analogy between the mechanical and thermal analysis by giving reference to concepts like energy balance, steady-state and transient problems. Discussions include definition of thermal loads, boundary conditions. Heat transfer applications include problems involving conduction, convection, radiation. Thermal section concludes with the thermomechanical applications that couple mechanical and thermal physics. Fluid analysis section starts with the introduction of properties such as density, viscosity, etc. with the continuity and balance laws. Definition of thermal loads, boundary conditions will be discussed with applications. Example analysis include flow through cylinders, cut-outs etc. Thermofluid application will be discussed for piping design applications. Moreover, design optimization will also be discussed for engineering design applications. Finally, designs for manufacturing and relevant concepts i.e. geometrical dimensioning and tolerancing will be discussed.

OBJECTIVE

Course teaches how to perform engineering analysis using a computer software. Basics descriptions for analysis will be defined. A brief theoretical background will be provided at the beginning of each topic. Students will learn how to perform engineering analysis using a computer software. The design and analysis aspects will be discussed concerning the manufacturing constraints. All the concepts will be illustrated on worked examples.

LEARNING OUTCOME

To learn how to use a commercial computer software for engineering analysis
To learn basic finite element concepts that are used to design of parts or assemblies
To perform analysis in different physical fields: mechanical, thermal, and fluid analysis
To learn the application of fundamental concepts such as stress, strain, continuity, equilibrium, energy balance.
To design parts for manufacturing considering geometrical tolerances
To perform design for additive manufacturing using the topology optimization tools

PROGRAMME OUTCOMES


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 5

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 5

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 4

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 3

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 3


1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 5

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 5

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 5


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 2

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 4

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 4


1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 4

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 3


1. Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 4

2. Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 4

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 25
Midterm 15
Exam 20
Group Project 20
Homework 20

RECOMENDED or REQUIRED READINGS

Textbook

Paul M. Kurowski,Engineering Analysis with SOLIDWORKS Simulation 2019, SDC Publications, 2019.

Shanin S. Nudehi, John R. Steffen,Analysis of Machine Elements Using SOLIDWORKS Simulation 2019, SDC Publications, 2019.

Paul M. Kurowski,Vibration Analysis with SOLIDWORKS Simulation 2019, SDC Publications, 2019.

Paul M. Kurowski, Thermal Analysis with SOLIDWORKS Simulation 2019 and Flow Simulation 2019, SDC Publications, 2019.

John Matsson, An Introduction to SOLIDWORKS\textsuperscript Flow Simulation, SDC Publications, 2019.