Process-based tolerance assessment of connecting rod machining process

Sharma, G. V. S. S.; Rao, P. Srinivasa; Babu, B. Surendra

doi:10.1007/s40092-015-0138-2

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Unfortunately, the errors created in the operation process significantly affected the increase in the values of negative deviations in the big end bore. In the case of the wrist pin diameter, the deviations were much smaller and, in most areas, did not exceed the values of manufacturing deviations [51,52]. The deviation of the hole axis spacing was −0.02 mm; the value obtained was within the range of manufacturing deviations, which is ±0.05 mm.…”

Section: Discussionmentioning

confidence: 76%

Analysis of the Accuracy of CAD Modeling in Engineering and Medical Industries Based on Measurement Data Using Reverse Engineering Methods

Turek,

Bezłada,

Cierpisz

et al. 2024

Designs

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The reverse engineering (RE) process is often necessary in today’s engineering and medical industries. Expertise in measurement technology, data processing, and CAD modeling is required to ensure accurate reconstruction of an object’s geometry. However, errors are generated at every stage of geometric reconstruction, affecting the dimensional and geometric accuracy of the final 3D-CAD model. In this article, the geometry of reconstructed models was measured using contact and optical methods. The measurement data representing 2D profiles, 3D point clouds, and 2D images acquired in the reconstruction process were saved to a stereolithography (STL) model. The reconstructed models were then subjected to a CAD modeling process, and the accuracy of the parametric modeling was evaluated by comparing the 3D-CAD model to the 3D-STL model. Based on the results, the model used for clamping and positioning parts to perform the machining process and the connecting rod provided the most accurate mapping errors. These models represented deviations within ±0.02 mm and ±0.05 mm. The accuracy of CAD modeling for the turbine blade model and the pelvis part was comparable, presenting deviations within ±0.1 mm. However, the helical gear and the femur models showed the highest deviations of about ±0.2 mm. The procedures presented in the article specify the methods and resolution of the measurement systems and suggest CAD modeling strategies to minimize reconstruction errors. These results can be used as a starting point for further tests to optimize CAD modeling procedures based on the obtained measurement data.

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Section: Discussionmentioning

confidence: 76%

Analysis of the Accuracy of CAD Modeling in Engineering and Medical Industries Based on Measurement Data Using Reverse Engineering Methods

Turek,

Bezłada,

Cierpisz

et al. 2024

Designs

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“…Process capability is the concept employed in the manufacturing domain for assessing the potential and performance of the manufacturing process to produce a quality product (Sharma et al, 2016. The same concepts of manufacturing process capability have been adopted for horizontal deployment in the education process at GMR Institute of Technology in India.…”

Section: Methodsmentioning

confidence: 99%

Post-COVID-19 era: An Enabler for the Implementation of Blended Learning in Compliance With the NEP 2020

Sharma¹,

Prasad²,

Rao³

2022

International Journal of Educational Reform

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Government of India has cleared the New Education Policy (NEP) 2020 by bringing out many reforms in the education sector with a focus on education design, delivery, and assessment. This work is an attempt toward perceiving the post-COVID-19 era as an enabler in the engineering education process for the implementation of blended learning. Causal analysis through the Ishikawa diagram is brainstormed for enlisting all the potential causal factors for the inability to restore normalcy during the COVID-19 pandemic. Process Failure Modes and Effects Analysis (PFMEA) is adopted for restoring normalcy through prioritized corrective actions. Thus, NEP 2020 is considered for leveraging blended learning.

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“…The improved Process performance capability index for the center hole diameter of ø50.000 (±0.050) obtained through boring operation is compared with a tolerance capability expert software (https://tce.tolcap.com/login, 2016) as observed by Sharma et al(2016). The graphical outputs are tabulated in Table 7.…”

Section: Comparison With a Tolerance Capability Expert Softwarementioning

confidence: 99%

Process capability improvement through DMAIC for aluminum alloy wheel machining

Sharma¹,

Rao

Babu

2017

J Ind Eng Int

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This paper first enlists the generic problems of alloy wheel machining and subsequently details on the process improvement of the identified critical-to-quality machining characteristic of A356 aluminum alloy wheel machining process. The causal factors are traced using the Ishikawa diagram and prioritization of corrective actions is done through process failure modes and effects analysis. Process monitoring charts are employed for improving the process capability index of the process, at the industrial benchmark of four sigma level, which is equal to the value of 1.33. The procedure adopted for improving the process capability levels is the define-measure-analyze-improvecontrol (DMAIC) approach. By following the DMAIC approach, the C p , C pk and C pm showed signs of improvement from an initial value of 0.66, -0.24 and 0.27, to a final value of 4.19, 3.24 and 1.41, respectively.

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Process-based tolerance assessment of connecting rod machining process

Cited by 6 publications

References 26 publications

Analysis of the Accuracy of CAD Modeling in Engineering and Medical Industries Based on Measurement Data Using Reverse Engineering Methods

Analysis of the Accuracy of CAD Modeling in Engineering and Medical Industries Based on Measurement Data Using Reverse Engineering Methods

Post-COVID-19 era: An Enabler for the Implementation of Blended Learning in Compliance With the NEP 2020

Process capability improvement through DMAIC for aluminum alloy wheel machining

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