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Design for assembly (DFA) is a prominent strategy for manufacturing cost reduction in automotive industries. DFA in automotive component design is a complicated process since several competing targets have to be considered simultaneously in designing various functions and features. It requires specialized design knowledge as well as extensive quantitative analysis, comparison and evaluation. Analytical Hierarchic Process (AHP) is one of the tools that can assist such design and evaluation processes. It has been successfully applied in various processes when multiple competing goals and characteristics are involved. In this paper, we propose the application of AHP for DFA in automotive component design and present a case study involving car front end component design.

Manufacturing industries have implemented design for manufacturing and design for assembly guidelines and techniques for many years. These lead to better designed products and lower manufacturing and assembly costs. In recent years, due to environmental and economical reasons, there is a growing interest in developing effective methods for product design considering product disassembly, component remanufacturing and material recovery. As a result of which numerous design guidelines for disassembly and algorithms for disassembly sequence generation are proposed. However, only a handful research articles presented integrated approaches to design for assembly and disassembly. In this paper, an integrated method is proposed to analyze the ease of assembly and disassembly using analytic hierarchic process (AHP) approach.

In this study, fatigue performance of Gas Metal Arc Welded (GMAW) joint for 1.5 mm uncoated DP780 and 1.0 mm and aluminized coated boron (or USIBOR) steel was investigated. Metallurgical properties of DP780 to coated boron steel dissimilar steel lap joints were evaluated using optical microscopy. Microhardness traverse, static and fatigue tests were conducted on these joints. Finite element analysis (FEA) was used to identify the stress distribution of the weld joints with different stack-ups and at same loading conditions. It was found that position of the material (top or bottom in lap joint configuration) had a significant impact on fatigue performance of the dissimilar joint. The amount of heat introduced by welding to coated boron steel is also believed to be important to the fatigue performance of the dissimilar joints. The findings in this study can be used when aluminized boron steel is involved in dissimilar steel and dissimilar thickness GMAW lap joint design.

With the increasing demand for safety, energy saving and emission reduction, Advanced High Strength Steels (AHSS) have become very attractive steels for automobile makers. The usage of AHSS steels is projected to grow significantly in the next 5-10 years with new safety and fuel economy regulations. These new steels have significant manufacturing challenges, particularly for welding and stamping. Welding of AHSS remains one of the technical challenges in the successful application of AHSS in automobile structures due to heat-affected zones (HAZ) at the weld joint. In this study Gas Metal Arc Welding (GMAW) of a lap joint configuration consisting of 1.0 mm Usibor® 1500 steel to uncoated Dual Phase 780 (DP780) steel was investigated. The objective of the study was to understand the wire feed rate (WFR) and torch (or robot) travel speed (TTS) influence on lap joint tensile strength.

The advent of various structural optimization methods has made the process of deriving efficient lightweight designs for complex structures under multiple load conditions far more attainable than ever before. Three of these methods, namely sizing, topology and topometry optimization have been used extensively in the structural optimization of body-in-white structures. While all these techniques have their unique advantages, they provide different solutions to the posed problem. In this paper, we examine how best these optimization techniques can be used to derive a more efficient design within a linear domain, through a case study. Depending on the starting point of the design, all three techniques can play a vital role in making design decisions.

Joining methods for spaceframe architectures using extruded structural elements are getting popular. At present, the development of lightweight vehicles, in particular aluminum intensive vehicles, requires substantial development of manufacturing processes for the joining and assembling. Joining methods, such as electric arc resistance, and laser beam fusion welding together with nonfusion ultrasonic welding rise as possible alternatives for high volume joining of aluminum. In this study, metal inert gas (MIG) welding was used to join heat treatable extruded 6063 T6 aluminum alloys. The purpose of this study was to find optimum MIG welding parameters for joining 6063-T6 extruded aluminum. Also, the MIG welding equipment used in this study is OTC TP 350 DF weld power supply and DR-4000 robotic system. The welding process factors considered were power input (voltage, current, and torch speed), pulse frequency, gas flow rate, torch angle and arc intensity.

Aluminum alloys are becoming more lucrative in automotive structural applications. In recent automotive history, 5xxx and 6xxx aluminum alloys are being used in various structural applications. Various joining methods are also popular for joining 5xxx, and 6xxx series alloys. In this study, gas metal are welding (GMAW) also referred as metal inert gas (MIG) welding is used to join a non-heat-treatable alloy. The objective of this paper is to develop optimum weld process factors for double lap joint configuration for non-heat-treatable 5754 aluminum alloy. Ultimately, these optimum weld factor settings (also referred as weld schedules) will be used in the plant level for joining 5754 alloy materials. Also, the MIG welding equipment used in this study is OTC TP 350 DF weld power supply and DR-4000 robotic system. The weld factors selected for this study to understand the influence on lap shear load failure are power input (torch speed, voltage, current, wire feed), and gas flow rate.