|
Journal PROCEEDINGS IN MANUFACTURING SYSTEMS |
|
ISSN 2343–7472 ISSN-L 2067-9238 |
|
|
|
|
Journal PROCEEDINGS IN MANUFACTURING SYSTEMS
□ Volume 11, Issue 2, 2016
End milling optimization using teaching-learning based optimization algorithm combined with cutting force model · Christian LANDSCHÜTZER, Dirk JODIN, · Frantisek SEDLACEK, Michal SKOVAJSA, Optimization of an intake system using CFD numerical simulation · Ryoshu FURUTANI, Akira SUGIHARA, Miyu OZAKI, Profile measurement without reference error comparing two parallel linear stages · Mijodrag
MILOŠEVIĆ, Dejan LUKIĆ, Mića ĐURĐEV, Jovan VUKMAN,
Aco ANTIĆ, Genetic algorithms in integrated process planning and scheduling – a state of the art review · Radu VASILE, Sever-Gabriel RACZ, Octavian BOLOGA, Numerical and experimental analysis of the formability of 1.4301 austenitic stainless steel sheets using hydroforming Analysis of temperature influence on injection molding process · Michael
SCHADLER, Norbert HAFNER, Andreas WOLFSCHLUCKNER, Autonomous shuttle systems − requirements, functionality and design concepts End milling optimization using teaching-learning
based optimization algorithm combined with cutting force model Uros ZUPERL,* 1, Franc CUS2 1) Assist. Prof., researcher, University of Maribor, Faculty of
mechanical engineering, Maribor, Slovenia 2) Full. Prof., University of Maribor, Faculty of mechanical
engineering, Maribor, Slovenia Abstract: In
this research, teaching learning based optimization (TLBO) algorithm has been
used for determining optimal cutting process parameters in ball-end milling
processes where multiple conflicting objectives are present. First, dynamic
cutting force components have been modeled using an adaptive neuro-fuzzy
inference system (ANFIS) based on design of experiments and then TLBO
algorithm is used to determine the objective function maximum (cutting force
surface) by consideration of cutting constraints. Ball-end milling
experiments have been performed according to the experimental plan. Analysis
of the developed approach has been performed to test its validity. The
results showed that integrated system of ANFIS and TLBO is an effective
approach for solving multi-objective cutting conditions optimization problem
in ball-end milling. The high accuracy of results within a wide range of
machining parameters indicates that the system can be practically applied in
industry. Key words: end-milling, cutting
parameters, optimization, TLBO, cutting force, ANFIS. Engineering for logistics Christian LANDSCHÜTZER1,*, Dirk JODIN2 1) Ass.Prof. Dipl.-Ing. Dr.techn., workgroup leader Logistics
Technology, TU Graz, Institute of Logistics Engineering, Graz, Austria 2) Univ.-Prof. Dr.-Ing. habil., head of Institute, TU Graz, Institute of
Logistics Engineering, Graz, Austria Abstract: This
paper introduces a specific and customized approach on engineering for
logistics. By deriving several new methods it is shown how they perform on
various engineering tasks and material handling equipment. A special focus is
on the reuse of the methods and on their identifying process. An interactive
3D-model to depict and identify the impact of the methods concludes the
paper. Containing a large collection of literature the reader is able to
further develop the methods introduced here for his personal use. The paper
summarizes some essential parts of a Habilitation Thesis at Graz University
of Technology. Key words: engineering methods, product development, logistics engineering,
material handling equipment, CAE, Physical Internet. Optimization of an intake system using CFD
numerical simulation Frantisek SEDLACEK1,*, Michal SKOVAJSA2 1, 2) Eng., Faculty of Mechanical Engineering, University of West Bohemia,
Pilsen, Czech Republic Abstract: The paper deals with the use of CFD numerical
simulations during the design and optimization of components, which are used
for air distribution taking into account temperature. An intake manifold for
a light racing vehicle has been chosen as a representative example. The aim
of the research is to find a solution with the best possible distribution of
air to the individual cylinders of the engine, whilst ensuring the quick
response of the car engine. This type of analysis is very problematic because
there is high speed compressible flow of air in the intake system, pressure
drops and changes of temperatures. The optimization of the shape of the
airbox is achieced in connection with CFD simulation (solver Siemens NX
Advanced Flow) with the geometrical optimization of the generic model of the
airbox. A 1D model of the engine was created to obtain the input data for CFD
analysis. Values of pressures and temperatures for the individual cylinders
of the engine in relation to time were subsequently generated from the 1D
model. These values are used as input for the CFD analysis. The final
analysis was performed as transient for several combustion cycles of the
engine. Key words: numerical simulation, CFD, intake manifold. Profile measurement
without reference error comparing two parallel linear stages Ryoshu FURUTANI 1,*, Akira SUGIHARA2 , Miyu OZAKI3 1) Prof., Dr. Engineering, Department of Mechanical Eng., Tokyo Denki
University, Tokyo, Japan 2) Master of Engineering,
Department of Mechanical Eng., Tokyo Denki University, Tokyo, Japan 3) Associate Prof., Dr. Engineering, Department of Mechanical Eng.,
Nippon Institute of Technology, Saitama, Japan Abstract: In
general, the profile measuring machine uses the displacement sensor attached
on movable mechanism in order to measure the object. It could measure the
object profile by the amount of movement of the displacement sensor and
output of the displacement sensor. When measuring the object, metrological frame
is important as a reference. If the metrological frame has some profile
errors, the output of the displacement sensor includes the profile error of
the metrological frame. We proposed a new method to distinguish the profile
error of the metrological frame from the output of the displacement sensor.
The proposed method requires two linear stages and the displacement sensor.
Two linear stages are set and aligned in parallel; displacement sensor and
object are mounted on each stage. The output of the displacement sensor can be obtained by the combination of the
position of the two linear stages. The object profile and profile error of
the movable mechanism are determined by calculation using only the output of
the displacement sensor. The validity of the new method was confirmed by the
simulation and experiment. It was confirmed to be possible to construct
metrological frame less than 1 μm. Key words: metrological frame, profile error, error separation, profile measurement, Linear Stages.
Genetic algorithms
in integrated process planning and scheduling – a state of the art review Mijodrag MILOŠEVIĆ1, Dejan LUKIĆ1,*,
Mića ĐURĐEV2, Jovan VUKMAN2, Aco
ANTIĆ3 1) Assistant Prof., University of Novi Sad, Faculty of Technical
Sciences, Department of Production Engineering, Novi Sad, Serbia 2) PhD student, University of Novi Sad, Faculty of Technical Sciences,
Department of Production Engineering, Novi Sad, Serbia 3) Associate Prof., University of Novi Sad, Faculty of Technical
Sciences, Department of Production Engineering, Novi Sad, Serbia Abstract: This
paper presents a review of genetic algorithms in integrated process planning and
scheduling problems. According to the
literature information, process planning and scheduling are two functions
that were sequentially carried out in a manufacturing system, where
scheduling was performed after process plans had been generated. Their integration
highly improves the performance and efficiency of manufacturing systems. The
integrated process planning and scheduling problem belongs to the class of
most difficult combinatorial problems and it requires high efficient methods
for finding optimal solutions. Genetic algorithms are one of the most famous
metaheuristic algorithms based on the principles of artificial intelligence
that found its use in various branches of science. Modern genetic algorithms
proved to be very reliable in finding optimal process plans and schedules.
Here, state of the art review of genetic algorithms for optimization of
process planning, scheduling and their integration is shown. Many different
modifications and hybrid approaches are briefly discussed. Mostly used genetic
components and strategies are shortly presented with some sample parts that
are often considered when testing genetic algorithm performances. Key words: genetic algorithms, optimization, integration, process planning, scheduling.
Numerical and
experimental analysis of the formability of 1.4301 austenitic stainless steel
sheets using hydroforming Radu VASILE1, *, Sever-Gabriel RACZ2, Octavian
BOLOGA3 1) Ph.D. Student, Department of Industrial Machinery and Equipment
"Lucian Blaga" University, Sibiu, Romania 2) Prof. Ph.D., Head of Department, Department of Industrial Machinery
and Equipment "Lucian Blaga" University, Sibiu, Romania 3) Prof. Ph.D., Department of Industrial Machinery and Equipment
"Lucian Blaga" University, Sibiu, Romania Abstract: The
present paper aims to analyse the forming capacity of stainless steel
materials with hydroforming forming process. For this research 1.4301
(X5CrNi18-10) austenitic stainless steel has been in focus for numerical and
experimental analysis. The main advertised advantages of this material are
ease of formability, good corrosion resistance and excellent aesthetic
appearance for the end product. For proper forming evaluation tensile test,
forming limit curves – Nakajima test have been carried out. The main material
mechanical characteristics were processed in order to determine an accurate
finite element model. The hydroforming drawn part was formed by a newly
developed hydroforming press concept, developed by the authors. The numerical
results were compared to the measured experimental results with the help of
optical strain measurement software. Keywords: numerical simulation, sheet metal forming, hydroforming, experimental
research, stainless steel, CAD design, uniaxial tensile test, forming limit
curve.
Analysis of
temperature influence on injection molding process 1) PhD, Lecturer, Eng., Regional Technological Institute, University of
West Bohemia, Czech Republic 2) Lecturer, Eng, Regional Technological Institute, University of West
Bohemia, Czech Republic Abstract: This
article deals with possibilities of modern advanced simulation methods for
determining quality of mechanical systems. For temperature studies was chosen
injection molding process. It is influenced by many parameters such as
temperatures and pressures. This article is focused on influencing by
temperature. The main aim is to determine optimal temperatures of injected
plastic material, mold and coolant. For each plastic material is given
temperature range of mentioned parameters. Using modern plastics flow
simulation it is identified the exact influence of each parameter on final
properties of product. As main parameters for evaluation the followings are
chosen: level of mold filling, number of weld lines and total production
times. As a reference state it is chosen the process with mean values of all
injection parameters. Simulations are verified by comparing with an
experiment on real injection molding machine. Key words: injection molding, temperature, quality, molding simulation. Autonomous shuttle
systems − requirements, functionality and design concepts Michael SCHADLER1,*, Norbert HAFNER2, Andreas
WOLFSCHLUCKNER3 2) Ass.Prof. Dipl.-Ing., Dr.techn., Graz University of Technology,
Institute of Logistics Engineering, Austria 3) Dipl.-Ing., Dr.techn., research fellow, Graz University of
Technology, Institute of Logistics Engineering, Austria Abstract: With
the advent of cellular transportation systems, intralogistics saw a
completely new concept of materials handling. The advantage of this technique
is its ability to provide increased productivity and flexibility of material
flow combined with a high degree of automation. Despite many advantages, the
industry has hardly adopted the concept, due to high cost and the effort that
is necessary to develop the hardware. Implementing modular assembly kits can
help reduce the workload. In addition, modular assembly kits allow for a
simple exchangeability of components based on individual requisitions. The
purpose of this paper is to present a new modular design catalog and
knowledge representation for autonomous shuttle vehicles, providing an
integral approach with the advantage of both open path navigation on the shop
floor as well as inside an automated storage system. Current systems are
analyzed according to their tasks and functions. With the results of the
analysis, requirements of possible new systems are defined. Based on a
requirements list, four essential subassembly modules are categorized:
carriage and drive train, sensor technology and control, energy management
and load handling devices. In a knowledge-based engineering approach the
interrelationships and dependencies between each module are demonstrated. The
combination of technical solutions contained in the design catalog allows the
creation of several potential systems. A total of three exemplary shuttles
are described from different perspectives: the shuttle ‘flexible’ is able to
handle multiple loads with varying dimensions, the shuttle ‘standard’
describes a single load system similar to vehicles currently used and finally
the shuttle ‘budget’ that provides similar functionality at a lower cost. Key words: shuttle system, autonomous guided vehicle, cellular
transport system, function-oriented modularization, assembly kit, modular
design catalog. Electronic mail: orgcom@icmas.eu |
||||||||||||||||
|
|
