The miniaturisation context leads to the rise of micro-machining processes. Micro-milling is one of the most flexible and fast of them. Although it is based on the same principles as macro-cutting, it is not a simple ...The miniaturisation context leads to the rise of micro-machining processes. Micro-milling is one of the most flexible and fast of them. Although it is based on the same principles as macro-cutting, it is not a simple scaling-down of it. This down-sizing involves new phenomena in the chip formation, such as the minimum chip thickness below which no chip is formed. This paper presents a review of the current state of the art in this field from an experimental and a numerical point of view. A 2D finite element model is then developed to study the influence of the depth of cut on the chip formation. After the model validation in macro-cutting, it highlights the phenomena reported in literature and allows to perform a minimum chip thickness estimation.展开更多
There are multiple guidelines from publishers and organisations on the use of artificial intelligence(AI)in publishing.1–5 However,none are specific to family medicine.Most journals have some basic AI use recommendat...There are multiple guidelines from publishers and organisations on the use of artificial intelligence(AI)in publishing.1–5 However,none are specific to family medicine.Most journals have some basic AI use recommendations for authors,but more explicit direction is needed,as not all AI tools are the same.As family medicine journal editors,we want to provide a unified statement about AI in academic publishing for authors,editors,publishers and peer reviewers based on our current understanding of the field.The technology is advancing rapidly.While text generated from early large language models(LLMs)was relatively easy to identify,text generated from newer versions is getting progressively better at imitating human language and more challenging to detect.展开更多
文摘The miniaturisation context leads to the rise of micro-machining processes. Micro-milling is one of the most flexible and fast of them. Although it is based on the same principles as macro-cutting, it is not a simple scaling-down of it. This down-sizing involves new phenomena in the chip formation, such as the minimum chip thickness below which no chip is formed. This paper presents a review of the current state of the art in this field from an experimental and a numerical point of view. A 2D finite element model is then developed to study the influence of the depth of cut on the chip formation. After the model validation in macro-cutting, it highlights the phenomena reported in literature and allows to perform a minimum chip thickness estimation.
文摘There are multiple guidelines from publishers and organisations on the use of artificial intelligence(AI)in publishing.1–5 However,none are specific to family medicine.Most journals have some basic AI use recommendations for authors,but more explicit direction is needed,as not all AI tools are the same.As family medicine journal editors,we want to provide a unified statement about AI in academic publishing for authors,editors,publishers and peer reviewers based on our current understanding of the field.The technology is advancing rapidly.While text generated from early large language models(LLMs)was relatively easy to identify,text generated from newer versions is getting progressively better at imitating human language and more challenging to detect.
