scispace - formally typeset
Search or ask a question

What is the impact of machining marks on the fatigue life of components? 

Residual stress
Pipeline (software)
Transverse plane
Dynamic recrystallization
Surface integrity
Best insight from top research papers

Machining marks significantly influence the fatigue life of components. The presence of transverse machining marks in X80 pipeline steel greatly affects fatigue life scatter at low stress amplitudes, as these marks impact the critical threshold stress factor. Additionally, residual stresses induced by machining, such as those in nickel-based alloys, can alter microstructural properties, affecting mechanical properties and fatigue life. Dry machining of aluminum alloys like UNS A97075 can lead to reduced fatigue life due to higher cutting speeds and feed rates, emphasizing the importance of surface conditions on fatigue behavior. Surface finish, including roughness, plays a crucial role in fatigue properties, with statistical methods aiding in more accurate fatigue design by considering the distribution of initiated cracks and total crack depth.

Answers from top 5 papers

More filters
Papers (5)Insight
Open access•Journal Article•DOI
Fatigue performance of surface ground and wire electrical discharge machined TiNi shape memory alloy
Robert J. Beck, David K. Aspinwall, Sein Leung Soo, Paul Edward Williams, Roberto Perez 
09 Jul 2021
9 Citations
Machining marks from surface grinding and wire electrical discharge machining influence the fatigue performance of TiNi shape memory alloy components, impacting their high cycle fatigue life.
Open access•Journal Article•DOI
Teknologiset tekijät teräksen väsymisessä
Matti Makkonen
18 May 2017-Rakenteiden Mekaniikka
1 Citations
Machining marks, specifically surface finish, significantly affect fatigue life. Statistical methods can accurately consider surface roughness, crucial for estimating crack depth and calculating fatigue strength in components.
Open access•Journal Article•DOI
Numerical predictions of orthogonal cutting–induced residual stress of super alloy Inconel 718 considering dynamic recrystallization
Emadedin Soufian, Roya Darabi, Mustapha Abouridouane, Ana Reis, Thomas Berg 
13 Aug 2022-The International Journal of Advanced Manufacturing Technology
2 Citations
Machining marks can induce residual stresses affecting fatigue life. The study focuses on predicting residual stresses in super alloy Inconel 718 to optimize machining processes for desired fatigue life.
Open access•Journal Article•DOI
Cutting parameters influence analysis on fatigue behaviour of dry turned UNS A97075 alloy after corrosion
Sergio Martín-Béjar, F.J. Trujillo, C. Bermudo, M. Herrera, Lorenzo Sevilla 
01 Feb 2021
Machining marks influence fatigue life by affecting surface integrity. Higher cutting speed and feed rate reduce fatigue life of UNS A97075 alloy, especially after corrosion, due to severe cutting conditions.
Open access•Journal Article•DOI
Machining factor on the high cycle fatigue life of X80 pipeline steel
Y. P. Qiu, Xinhua Ju, Yang Meng, Zeyang Wang, Qing Hui Zhang 
01 Feb 2022-Journal of Physics: Conference Series
The depth of transverse machining marks significantly affects the fatigue life of X80 pipeline steel components, with removing these marks improving fatigue life scatter at low stress amplitudes.

Related Questions

What is the effect of impact on the fatigue properties of composite materials?4 answersThe effect of impact on the fatigue properties of composite materials is a topic of interest in several studies. It has been observed that impact can cause an increase in the total amount of damage in the material. However, the impact does not necessarily increase the damage level in the critical area where final fracture occurs. The timing of the impact in relation to the fatigue loading also plays a role in the fatigue life of the material. Impacting specimens before the initiation of fatigue loading can have a detrimental effect on the fatigue life, while impacting specimens in the presence of fatigue damage may not affect the fatigue life significantly. These findings highlight the need for a systematic study of the effect of in-situ impact on the fatigue life of composite structures.
What are the effects of fatigue on aviation safety?5 answersFatigue has significant effects on aviation safety. It is a contributing factor to many aviation accidents, and can result in negative impacts on task performance, vigilance, and decision-making abilities. Fatigue can be induced by factors such as sleep deprivation, extended time awake, and workload. Task-related fatigue can be categorized into active fatigue, induced by cognitive overload, and passive fatigue, elicited by prolonged, understimulating tasks. Pilots are particularly vulnerable to passive fatigue due to the nature of their tasks, especially during automated flights. Fatigue impairs performance, including warning recognition tasks, and increases response time. To mitigate the risks associated with fatigue, it is important to develop programs and strategies for fatigue management, including the use of countermeasures such as pre-flight naps and pharmaceuticals. Further research is needed to better understand the pathophysiology and epidemiology of fatigue, as well as to explore additional fatigue management strategies.
What's the effect of high temperatures in the sensibility to a notch in fatigue?4 answersHigh temperatures have a significant effect on the sensitivity to a notch in fatigue. Notched components at elevated temperatures can experience both strengthening and weakening effects due to the presence of a notch. The strengthening or weakening effects induced by a notch are influenced by factors such as creep, fatigue, and creep-fatigue loading conditions. The notch can lead to a reduction in the fatigue resistance of high-strength steels, with up to a 40% decrease in fatigue performance due to manufacturing defects introduced during punching and trimming. The fatigue resistance of directionally solidified superalloys decreases with an increase in stress concentration factors (Kt). The accuracy of the Strain Energy Density (SED) approach for fatigue assessment of notched components at high temperatures has been investigated, and it has been found to provide a geometry-independent parameter for fatigue analysis. The modified stress field intensity (SFI) approach has been developed to account for the inhibition effect and size effect in notch fatigue analysis.
What are the effects of screen fatigue on memory?3 answersExcessive screen time can have negative effects on memory. Increased screen time is associated with slowed learning and acquisition, as well as an increased risk of premature cognitive decline. Interruption during tasks can also impact memory performance, with increased alpha activity and P300 amplitude indicating inhibitory control to interference from irrelevant information. Additionally, interruption affects attentional reallocation when resuming the primary task, as shown by changes in P200 amplitude. Fatigue further exacerbates the negative effects of interruption on memory and behavioral performance. Visual fatigue caused by long-term use of electronic screens can also impact memory, with larger screens causing greater visual fatigue and excessive visual stimulation leading to increased visual loading and fatigue. Overall, screen fatigue can impair memory function and performance.
What is the role of Shot peening on AM Inconel 718 fatigue?5 answersShot peening has been found to have a positive effect on the fatigue life of laser-cladded Inconel 718 specimens. Laser cladding can cause a deterioration of the fatigue life by about 40%, but this can be almost restored by severe shot peening. The surface state of the alloy also plays a role in its behavior under high-temperature conditions. Shot peening treatments modify the surface condition and introduce higher residual stresses and microhardness values, which can influence the oxidation and precipitation phenomena during thermal exposure. Additionally, shot peening can enhance the fatigue life of Inconel 718 at both room and high temperatures by retarding crack initiation and growth, and by improving the dynamic plastic behavior of the alloy. The proper application of shot peening, along with other surface severe plastic deformation techniques, can effectively promote surface grain refinement and induce a deep compressive residual stress field, leading to improved mechanical properties and fatigue performance.
What is the effect of fatigue on the nominal stress of a material?3 answersFatigue can have an effect on the nominal stress of a material. For dental implants, fatigue is the most common mechanical failure type, and ISO 14801 standardizes fatigue testing to compare different implant designs. In gear systems, bending fatigue can cause crack initiation and tooth breakage, and single tooth bending fatigue tests are used to generate fatigue data. In aircraft structures, a fatigue life calibration method based on nominal stress is used to optimize the fatigue limit and predict fatigue life under different load spectra. For aluminium alloy sheets, high-stress conditions can lead to stable crack growth rates and plastic zone sizes that affect the nominal stress. In stainless steel fillet welds, the size and location of the weld can impact the fatigue strength and failure location.

See what other people are reading

Design and fabrication of in-pipe inspection robot for crack analysis and detection ?
5 answers
The development of in-pipe inspection robots for crack analysis and detection is crucial for enhancing safety and efficiency in various industries. These robots, like the ones described inand, utilize innovative designs to navigate pipelines and identify structural flaws. By incorporating features such as cameras, sensors, and advanced locomotion mechanisms, these robots can effectively detect cracks and prevent accidents by alerting control rooms or automatically applying brakes. The use of servomotors, actuated joints, and unique locomotion protocols enables these robots to move smoothly through pipelines, inspecting for damages or blockages, as seen inand. Overall, the integration of cutting-edge technology in the fabrication of in-pipe inspection robots enhances the safety and reliability of critical infrastructure systems.What is the effect of EMF on weld geometry?
5 answers
The effect of an External Magnetic Field (EMF) on weld geometry is significant across various welding processes. EMF influences weld bead geometry by altering the electric arc shape, current density, and energy distribution. It can change the cross-section of the electric arc, leading to variations in penetration depth and bead width. Additionally, EMF can prevent weld bead defects by controlling metal transfer and arc behaviors, resulting in a more uniform temperature distribution and strengthening of liquid metal filling. Moreover, EMF treatment can refine the Al matrix and second phases in welded joints, enhancing joint strength and reducing intermetallic compounds at the welding seam interface. Overall, EMF plays a crucial role in shaping weld geometry and improving joint quality in welding processes.What historical and cultural ties have existed between Morocco and Nigeria?
5 answers
Historically and culturally, Morocco and Nigeria have established significant ties through various agreements and initiatives. The Morocco-Nigeria Bilateral Investment Treaty (BIT) stands out as a pivotal point in their relationship. This treaty is recognized for its innovative provisions that aim to hold investors, often corporate entities, accountable for human rights violations resulting from their investments within host states, emphasizing a balance between investment protection and regulatory interests. Furthermore, the treaty reflects a global trend towards promoting corporate accountability for human rights violations, showcasing a shared commitment between Morocco and Nigeria to address such issues. These legal frameworks not only strengthen economic ties but also underscore a mutual concern for human rights and environmental protection.What are the advantages and limitations of using RNA-seq data for allele specific analysis pipelines?
5 answers
RNA-seq data offers advantages and limitations for allele-specific analysis pipelines. Advantages include the ability to detect and quantify alleles expressed under different conditions without the need for DNA sequencing or haplotype knowledge. Additionally, a spike-in approach can reduce costs significantly while maintaining accuracy in allele-specific expression analysis. On the other hand, challenges persist in accurately aligning reads containing genetic variants, which can lead to biases in ASE detection. The Personalised ASE Caller (PAC) tool addresses this by improving the quantification of allelic reads, reducing incorrect biases and increasing the reliability of ASE detection, especially in small sample sizes or when studying rare genetic variations. Furthermore, targeted RNA-seq (tar-RNAseq) proves beneficial in improving SNP coverage and concordance of ASE values, particularly in human studies with limited SNPs and degraded RNA samples.How do large language models compare to classic ML in sentiment analysis?
5 answers
Large language models (LLMs) like ChatGPT show satisfactory performance in simpler sentiment analysis tasks but struggle with more complex tasks requiring deeper understanding. In financial sentiment analysis, LLMs face challenges in interpreting numerical values and financial context, limiting their effectiveness. However, a study using semi-supervised learning with LLMs for market sentiment analysis on social media found that with proper training methods, LLMs can perform on par with existing supervised models, showcasing their potential for skill-intensive tasks. Overall, while LLMs excel in certain aspects of sentiment analysis and outperform small language models in few-shot learning scenarios, they may lag behind classic machine learning models in tasks requiring specialized domain knowledge or structured sentiment information.What are common labeling strategies for 3D models?
4 answers
Common labeling strategies for 3D models include automatic annotation schemes that generate point-wise labels efficiently, and pseudo-labeling techniques for 3D object detection and monocular depth estimation. These strategies aim to reduce manual annotation time, eliminate the need for dataset-specific parameters, and enhance model performance by leveraging unlabeled data. Automatic labeling pipelines can output semantic classes and soft object scores, which can be binarized, thresholded, or used directly as soft labels during training. Pseudo-labeling methods involve generating reliable pseudo ground truths either through 2D-based consistency measurements or 3D-aware completion networks, improving depth estimation and domain adaptation in real-world datasets. Overall, these strategies optimize labeling processes and enhance the accuracy of 3D models efficiently.How does cryogenic cooling affect the accuracy and precision of machining processes?
5 answers
Cryogenic cooling significantly impacts the accuracy and precision of machining processes by enhancing surface quality, reducing cutting forces, and minimizing tool wear. Studies on various materials like aluminum alloy, titanium alloy, low carbon steel, and IN718 samples have shown that cryogenic cooling leads to improved surface roughness, reduced cutting forces, and decreased tool wear. Optimization of cryogenic machining through nozzle positioning has been found crucial in achieving minimal cutting temperatures and forces, ultimately enhancing machinability. Cryogenic cooling systems, particularly using liquid nitrogen, offer superior cooling efficiency compared to traditional methods, making them essential for machining hard-to-cut materials in a sustainable and eco-friendly manner.Are Bert Family Good Instruction Followers? A Study On Their Potentia And Limitations.?
4 answers
The BERT family of models has shown promise as instruction followers, but with limitations. Studies reveal that large BERT models struggle with incoherent inputs, often failing to recognize them as invalid. Reinforcement Learning with Human Feedback (RLHF) has been successful in fine-tuning BERT models for instruction alignment, but the RL algorithm complexity poses challenges. However, alternative approaches like Hindsight Instruction Relabeling (HIR) show promise by converting feedback into instructions and training models in a supervised manner, without the need for additional parameters. While BERT models excel in few-shot tasks and prompt-based learning, limitations arise in zero-shot settings, particularly for language understanding tasks like GLUE and SuperGLUE. Further exploration is needed to understand and overcome these limitations in leveraging BERT models as effective instruction followers.What varieties of faults can be detected within the system using PSO?
4 answers
Particle Swarm Optimization (PSO) algorithms have been utilized in various studies to detect different types of faults within systems. The fault varieties that can be detected using PSO include active distribution network faults, short-circuit faults in power distribution systems, faults in HVDC transmission systems, and faults in pipeline robots. These studies demonstrate the effectiveness of PSO in fault detection across a range of systems, showcasing its versatility and applicability in different domains. PSO has been employed in fault localization techniques for power systems, fault diagnosis methods for pipeline robots, and enhancing fault classification accuracy in various scenarios. The integration of PSO with different technologies like neural networks, support vector machines, and deep learning algorithms has shown promising results in accurately detecting faults within complex systems.Why are more realistic AI faces seen as more real than real faces?
4 answers
More realistic AI faces are perceived as more real than actual faces due to their high level of photorealism, surpassing the uncanny valley and eliciting higher levels of trustworthiness. The ability of AI to generate synthetic faces that are visually indistinguishable from real faces contributes to this phenomenon, leading to increased trust in these AI-generated faces. Researchers have highlighted the potential for AI-synthesized faces to deceive even experienced observers, creating a significant threat to data trustworthiness and enabling the creation of fake digital identities for malicious purposes. The use of advanced AI technologies, such as Stable Diffusion v1.5, allows for the creation of highly realistic images, including human faces, which can be challenging to differentiate from genuine photographs.How can AI be used to handle question leaks?
5 answers
AI can be utilized to address question leaks by implementing advanced security measures to prevent sensitive data leakage during query processing. One approach involves adopting a stronger security model based on full deniability, which aims to prevent any inference of sensitive data from query answers. Additionally, the development of AI-based systems, such as an Intelligent Information Leak Protection System (IILPS), can play a crucial role in safeguarding against data leaks. The IILPS uses state-of-the-art techniques like Long Short Term Memory (LSTM) to analyze and categorize document images based on the presence of sensitive information, acting as a proactive early warning system and real-time checkpoint for information loss. These AI-driven solutions offer robust protection against unauthorized data leaks and enhance overall data security measures.