Tolerance Analysis for Validating Manufacturing Process Plans

Author(s):  
Wentao Fu ◽  
Saigopal Nelaturi ◽  
Arvind Rangarajan ◽  
Tolga Kurtoglu

In manufacturing process planning, it is critical to ensure that the part generated from a process plan complies with tolerances specified by designers to meet engineering constraints. Manufacturing errors are stochastic in nature and are introduced at almost every stage of executing a plan, for example due to inaccuracy of tooling, misalignment of location, distortion of clamping etc. Furthermore, these errors accumulate or ‘stack-up’ as the manufacturing process progresses to inevitably produce a part that varies from the designed model. The resultant variation should be within prescribed design tolerances. In this work, we present a novel approach for validating process plans using 3D tolerance stack-up analysis by representing variations of nominal features in terms of extents of their degrees of freedom within design and manufacturing tolerance zones. We will show how the manufacturing error stack-up can be effectively represented by composition and intersection of these transformations. We demonstrate several examples with different tolerance specifications to show the applicability of our approach for process planning.

2015 ◽  
Vol 760 ◽  
pp. 745-750
Author(s):  
Cristian Tarba ◽  
Sergiu Tonoiu ◽  
Petre Gheorghe Tiriplica ◽  
Ionut Gabriel Ghionea

The process of the product design consists in a plan for the product, its components and subassemblies. To obtain the physical entity building a manufacturing plan is needed. The activity of developing such a manufacturing plan is name process planning. Process planning is the relation between design and manufacturing. Process planning consists in defining the sequence of the steps that should be taken to make the product. Process planning is referring to the engineering and technological issues of how to make it.


2010 ◽  
Vol 20-23 ◽  
pp. 28-33
Author(s):  
Da Wei Liu ◽  
Hong Bin Liu

Traditionally, Models of IT manufacturing process planning and scheduling were carried out in a sequential way, where scheduling was done after process plans had been delivered. Since the two functions are usually complementary, it is necessary to integrate them correctly so that performance of an IT manufacturing system can be improved efficiently. In the thesis, a new integration model focused on key factors has been developed to facilitate the integration and optimization. The practice of the models show that the proposed approaches are promising and very effective methods for the integration of process planning and scheduling in IT manufacturing processes.


Author(s):  
Mahesh Mani ◽  
Kevin W. Lyons ◽  
Sudarsan Rachuri ◽  
Eswaran Subrahmanian ◽  
Gaurav Ameta ◽  
...  

In response to the global trend towards implementing sustainable manufacturing practices, we put forth an exploratory approach that uses energy monitoring as a means to introduce sustainability criteria early into manufacturing process planning. Typically cost, quality and time are the indices for manufacturability assessment in generating manufacturing process plans. In this paper, we propose the idea of introducing sustainability to complement cost, quality and time to arrive at alternative sustainable plans in identified manufacturing processes. To be sustainable, it is pertinent that manufacturing firms understand the energy consumption of different manufacturing equipment used to produce products. This will enable industry to implement energy reduction processes in a more effective manner and pave the way for improved and alternate manufacturing solutions. The paper presents the potential utility of energy usage readings in the interest of continuing dialogue and collaboration.


2017 ◽  
Vol 139 (4) ◽  
Author(s):  
Wentao Fu ◽  
Saigopal Nelaturi

In machining process planning, it is critical to ensure that the part created following the manufacturing steps complies with the designated design tolerances. However, the challenge is that manufacturing errors are stochastic in nature and are introduced at almost every step of executing a plan, for example, due to inaccuracy of tooling, misalignment of location, etc. Furthermore, these errors accumulate or “stack up” as the machining process progresses to inevitably produce a part that varies from the original design. The resulting variations should be within prescribed design tolerances for the manufactured part to be acceptable. In this work, we present a novel approach for assessing the manufacturing errors by representing variations of nominal features with transformations that are defined in terms of extents of the features' degrees-of-freedom (DOFs) within their design and manufacturing tolerance zones (MTZs). We show how the manufacturing errors stackup can be effectively represented by the composition and intersection of these transformations. Several examples representing scenarios of different complexities are demonstrated to show the applicability of our approach in assessing the influence of manufacturing errors on the design tolerances following a machining plan. Discussions of our approach are provided to address concerns with the accuracy and efficiency as well as to disclose the potential of our approach to enable a tolerance-aware process planning system.


Author(s):  
M. Marefat ◽  
J. Britanik

Abstract This research focuses on the development of an object-oriented case-based process planner which combines the advantages of the variant and generative approaches to process planning. The case-based process planner operates on general 3D prismatic parts, represented by a collection of features (eg: slots, pockets, holes, etc.). Each feature subplan is developed by the case-based planner. Then the feature subplans are combined into the global process plan for the part via a hierarchical plan merging mechanism. Abstracted feature subplans correspond to cases, which are used in subsequent planning operations to solve new problems. The abstracting and storing of feature subplans as cases is the primary mechanism by which the planner learns from its previous experiences to become more effective and efficient. The computer-aided process planner is designed to be extensible and flexible through the effective use of object-oriented principles.


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