Showing 4 results for Manteghi
M. Manteghi, B. Abdi, A.a. Tofigh,
Volume 1, Issue 3 (5-2011)
Abstract
This article aims at strategic vision to technology and suggests a strategic planning for this purpose. The main emphasis in this article is on strategic report compilation in the framework of strategic vision and covers issues such as identification of strategic planning dimensions and strategic vision levels, technology priority setting, environment monitoring, focus on costumer needs, methods of strategic vision compilation and future research methods. This article also concentrates on R&D strategies in a separate section. Furthermore, a separate section is dedicated to strategic vision in automotive industry and issues are discussed related to Iran Khodro Co. strategic visions. At the end, a model is presented for strategic vision compilation.
S.m. Shariatmadar, M. Manteghi, M. Tajdari,
Volume 2, Issue 2 (4-2012)
Abstract
Non-linear characteristic of tire forces is the main cause of vehicle lateral dynamics instability,
while direct yaw moment control is an effective method to recover the vehicle stability. In this
paper, an optimal linear quadratic regulator (LQR) controller for roll-yaw dynamics to
articulated heavy vehicles is developed. For this purpose, the equations of motion obtained by
the MATLAB software are coded and then a control law is introduced by minimizing the local
differences between the predicted and the desired responses. The influence of some parameters
such as the anti roll bar, change the parameters of the suspension system and track wide in
articulated heavy vehicles stability has been studied. The simulation results show that the
vehicle stability can be remarkably improved when the optimal linear controller is applied
M. Esfahanian, A. Mahmoodian, M. Amiri, M. Masih Tehrani, H. Nehzati, M. Hejabi, A. Manteghi,
Volume 3, Issue 4 (12-2013)
Abstract
In the present study, a model of a large Lithium Polymer (Li-Po) battery for use in the simulation of Hybrid
Electric Vehicles (HEVs) is developed. To attain this goal, an Equivalent Circuit (EC) consisting of a series
resistor and two RC parallel networks is considered. The accuracy and the response time of the model for
use in an HEV simulator are studied. The battery parameters identification and model validation tests are
performed in low current with a good accuracy. Similar test process is implemented in high current for
another cell and the simulation is verified with experimental results. The validation tests confirm the
accuracy of the model for use in HEV simulator. Finally, the battery model is used to model a Vehicle, Fuel
and Environment Research Institute (VFERI) hybrid electric city bus using ADVISOR software and its
compatibility with other components of the vehicle simulator are demonstrated in a drive cycle test.
M.h. Shojaeefard, M. Manteghi, M. Hakimollahi,
Volume 6, Issue 4 (12-2016)
Abstract
New product development (NPD) is described in the literature as the transformation of a market opportunity into a product available for sale. In the automotive industry, within the context of ISO/TS16949:2002 (the automotive quality management system international standard), these related to the product realization process (PRP) which consists of Three main phases such as planning, Implementation and sales, and five sub-phases called “Planning”, “Product Design”, “Process Design and Development”, “Product and Process Verification and Validation”, and “Production”. These phases could be done concurrently and have correlated activities.
There has been a wide range of working in new product development but in automotive section no contributes has been done before. The paper proposes a contribution between the new product development performance factors of a same project in a developed country and developing country. It shows the differences of employee and systems ways of thinking in two above mentioned categories. The main factors were extracted from literatures which are Goal clarity; Process formalization, Process Concurrency, Iteration, Learning, Team Leadership, Team Experience, Team Dedication, Internal Integration, External integration, Empowerment and Architecture. Having differences of people and systems thinking of new product development process of automotive engineering in two different working stations will be helpful in developing a complete model for performance measurement of a new product development in automotive industry. The questionnaires were made to analyze the value of each factor via employee view and system view and distribute in two different bases. The differences are illustrated in the paper.
