According to our colleagues at RMC, Newcastle United have had another bid for Florian Thauvin rejected by Marseille in recent days.
This bid was worth €17m, with Thauvin reaffirming publicly and privately his intention to remain at Marseille.
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Digitalization is most apparent in the consumer market, where music downloads, online shopping and on-demand TV are hailed as marvels of the digital age. However, digitalization is also having a huge effect on manufacturing.
The ability to collect and manipulate vast amounts of digital information will catapult manufacturing into the future. By embracing digitalization, SKF is enhancing its core offering – bearings technology, and related services – so that its customers can further boost the performance of their rotating equipment. Furthermore, by focusing on industrial digitalization, the company aims to drive the further optimization of cost and efficiency of the full value chain, including World Class Manufacturing and Supply Chain integration.
Digitalization will affect all parts of the value chain, from design and manufacturing through to purchasing and maintenance.
SKF has been monitoring equipment remotely for around fifteen years and it now has around 1 million bearings connected to the Cloud. Data from them is gathered and interpreted daily, often with assistance from our experts. The ability to handle this data leads to enhanced analytics – allowing SKF to earlier detect potential failures in rotating equipment that affect overall equipment reliability and to get a better understanding of critical product and system design requirements.
The company has already developed platforms to help customers gather and interpret data. For instance, the Enlight platform helps operators visualize data from a variety of sources, using a device such as a smartphone or tablet. This is a smart way of putting ‘Big Data’ into an operator’s pocket.
The ‘connectivity’ of the data runs in all directions, and can be used in many ways. At its simplest, it connects a sensor to a remote diagnostics centre. However, the data – on the health of a bearing, for instance – can be fed right back to the design stage, and used to help redesign a better product.
Increased digitalization has also begun to allow more customized manufacturing. Because it can cut machine re-setting times close to zero, there are fewer restrictions to making customised products. Recently, the owner of an aluminium mill required bearings that would allow increased output – through a higher rolling speed – as well as lower maintenance costs and the elimination of unplanned downtime. SKF was able to produce four-row cylindrical roller bearings – complete with optimized surface properties and customised coatings – to boost service life and robustness, as well as designing out product cost.
Recently, SKF agreed a five-year ‘Rotation For Life’ contract with Zinkgruvan Mining of Sweden. SKF will carry out remote monitoring of four mills at a Zinkgruvan enrichment plant. The company will then pay SKF a fee – based on whether it meets its productivity targets.
This arrangement relies on digitalization technologies working in synchronisation. In one element of the contract, monitoring data from a conveyor belt is gathered automatically – with no human intervention – and an SKF specialist analyses the deviations if necessary, while a distributed lubrication system keeps the line running at optimum efficiency.
The ability to correlate a wider variety of data can further improve performance. For instance, the condition monitoring data that SKF routinely collects can now be combined with ‘process’ data such as machine speed and control parameters, through a collaboration with Honeywell. Combining these data streams has helped one of our joint customers – a major copper producer – to make more informed decisions on maintenance and asset performance.
The customer says that part failure would once have led to shutdown – but this can now be avoided thanks to the advance warning provided by the combination of process and monitoring data.
Having access to this wider array of data could enhance maintenance, and help customers to make more informed choices. For example, analysing both monitoring and process data might reveal that slowing a machine down by 3% would extend the maintenance period by four weeks. The customer can then balance a slight reduction in output with a longer production period – and make the best possible decision.
Automatic detection of a failing bearing is a massive step forward in efficiency. However, the process of ordering the replacement – including sending the purchase order through to manufacturing, estimating the lead time, and delivering the part – still involves major human intervention.
SKF is already gearing up for a future in which the faulty part effectively puts in an order for its own replacement. Because a smart sensor can already diagnose itself, it’s not hard to imagine that it might send an automated message all the way back through the supply chain.
It goes further than this: increased digitalization streamlines the manufacturing process. It has already helped to shrink machine re-setting times. In this way, a specific replacement part can be scheduled for addition to the production line with minimal disruption – and fast turnaround.
Combining these two factors – accurate prediction of a failing part, with ‘manufacturing to order’ – ensures that some ‘projected demand’ for parts is replaced by ‘actual demand’. This extends the ‘just in time’ manufacturing concept down as far as the individual component – and could one day bring stock levels close to zero. It’s hard to imagine a world without stock, but this vision is within sight.
This type of system is yet to be developed. However, SKF is running pilots in specific areas of the supply chain. In the future, the plan is to join these pilot projects together, allowing full, end-to-end digitalization.
The enormous power of existing digital technologies – such as smartphones – makes it easy to think that we have reached a pinnacle of performance. However, we are only at the start of digitalization within manufacturing. Every aspect of the manufacturing value chain can be enhanced by digitalization. Some have already emerged, while others are still on the horizon.
Can we really move from self-diagnosis of a bearing to self-ordering? Yes, we can: the hard part is predicting when it will happen.
SKF
www.skf.com
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According to Superdeporte, La Liga side Valencia are eyeing up the signing of Manchester City’s French central defender Eliaquim Mangala in the event of the departure of Nicolas Otamendi.
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Ezequiel Garay is also another individual that VCF are reportedly targeting.
Speaking to L’Équipe, Lyon President Jean Michel Aulas confirmed that he has reached an agreement in principle for the transfer of Mathieu Valbuena.
JMA announced that a contract agreement with Valbuena and a base fee with Dynamo Moscow had been agreed, but that talks were ongoing with regards to the precise payment structure involved.
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在面臨全球競爭和環保壓力日益增大的今天，如何運用智慧製造工廠提升生產效能與實現環境永續成了關鍵挑戰。本文分享了轉型策略和具體做法。 歸納要點:
採用智慧製造不僅能夠使工廠提升效率、保護環境，還能在長期內帶來顯著的節約效果。讓我們一起走向更聰明、更綠色的生產新時代吧！
想像一下，如果我們的工廠能夠自己做出決策，進而提升生產效率和維護地球的健康，那會是多麼令人振奮的事情！智慧製造工廠正是基於這樣的理念。透過整合先進技術如物聯網（IoT）、大資料分析、雲端計算等，它們能即時監控生產流程、預測裝置故障並自動調整作業以最大化效率。但你可能會問：「這怎麼幫助我們實現環境永續？」答案在於資源使用的最佳化和減少浪費。舉例來說，透過精確控制原料用量和能源消耗，不僅可以降低成本也對抗了浪費文化，從根本上支援了可持續發展的目標。再加上實時資料分析幫助我們更好地理解和管理生產過程中的環境影響，智慧製造真正成為了提高生產效率與促進環境永續之間完美的橋樑。
本文歸納全篇注意事項與風險如下，完整文章請往下觀看
打造一個智慧製造工廠，聽起來似乎需要高深莫測的技術和天文數字的投資，但其實核心理念就是「資訊化」與「自動化」。這兩者如何成為提升生產效率和環境永續性的關鍵呢？讓我們從「資訊化」說起。在工廠中部署各種感測器與監控系統，可以即時收集生產線上的資料，比如原料消耗量、能源使用情況等。這些資料不僅有助於迅速偵測並解決問題，還能預測未來可能發生的狀況，使管理層能夠做出更加精準的決策。
然後是「自動化」。隨著科技進步，越來越多生產流程可以透過機器人或自動化裝置完成。這不僅大幅提升了生產效率（想象一下，一台機器人可24小時不停歇地工作），也顯著降低了因人為操作錯誤導致的浪費。
所以你看，在轉型成智慧製造工廠的路上， 其實並非遙不可及。只要聰明運用現代資訊科技和自動化裝置， 任何規模的工廠都能朝著效率更高、更加環保的方向邁進。
網路文章觀點與我們總結
當我們談論到「智慧製造」時，其實是在描述一個利用最新科技如人工智能與雲端計算來革命性地改善生產流程的未來。想像一下，由於有了更精確的預測模型與即時數據分析，企業不僅可以精準控制庫存，還能大幅降低浪費並提升效率。這聽起來就像是從一部科幻小說中走出來的情節，但事實上它正在成為現實。隨著供需變得日益複雜多變，引入這種先進技術已不再是選項而是必要步驟。
觀點延伸比較:
想過為什麼有些工廠能夠如此高效地生產出無數產品，同時又保持著極低的缺陷率嗎？答案很可能就藏在他們如何運用資料分析和決策制定於智慧製造流程中。將生產線上的各項裝置連結起來，讓它們不僅能「說話」也能「聽話」，透過這種方式收集到的大量實時資料是提升效率的關鍵所在。然後，再利用先進的分析工具去解讀這些資料，找出生產流程中存在的瓶頸或者是改善空間。像是一台機器反覆出現小錯誤，可能暗示著需要維修或調整設定;或者是某個階段耗時過長，則可能需要重新安排生產流程。
但重點不只是收集與分析，還得快速做出決策並落實。在當今競爭激烈、變化快速的市場中，能否迅速反應至關重要。靠著AI和其他智慧技術支援下的自動化系統可以幫助管理層根據資料做出更加精準且即時的決策。
我親身見證了一家採用此種方法轉型成功的工廠。他們不僅生產效率顯著提升、成本降低，而且員工更能專注於那些需要人類直觀判斷和創造力解決的問題上。真正實現了資源最大化利用與可持續發展目標相結合。
所以說，在智慧製造領域內部署高階資料分析與即時決策制定系統不僅是未來趨勢之一， 更像是必走之路了吧？
當我們談到智慧製造和環境永續時，你可能會問：「這兩者怎麼能扯上關係？」實際上，智慧製造不僅改變了生產方式，還在為保護地球盡一份心力。想像一下，如果我們能夠透過精準控制生產流程來減少原料浪費，那對環境意味著什麼？答案是顯而易見的：資源利用更高效，廢棄物大幅減少。
現在的智慧工廠透過先進的資料分析技術來預測材料需求和最佳生產時間，確保每一分資源都被妥善利用。比如說，在汽車製造中，精確的資料可以幫助決定最合理的金屬板使用方式，以減少切割過程中的浪費。透過實時監控裝置效能和耗能情況，企業可以及時發現並修正效率低下的問題點，從而降低能源消耗。
那麼，在日常生活中又該如何落實這些理念呢？其實很簡單。舉例來說，在家庭中使用智慧插座或節能器材就是一種方法。同理，在工業層面上也是相同道理——利用科技提升效率同時守護我們賴以生存的地球。
所以說，將智慧製造與環境永續結合起來不僅可行而且必要。它讓我們看到了一種全新可能：在追求高效生產的同時也致力於建立更加美好、乾淨、健康的未來。
推動智慧製造轉型，不是一蹴可幾的事情，而是需要有策略、步驟性地進行。
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According to our colleagues at La Provence, Marseille have approached former Tottenham Hotspur manager Juande Ramos about the vacant manager position.
Marseille continue to search for a new boss following Marcelo Bielsa’s dramatic departure on the night of the opening day of the Ligue 1 season.
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Imagine that you do not invest too much money into the business, but at the same time, you can start getting more clients. Too beautiful to be true? Not necessarily. Minimum Viable Product makes it possible to approach the subject in this way.
In the case of a website, MVP is a solution that has basic, but also sufficient functionalities to launch a website. It can be said that it is version 1.0, which through subsequent iterations will turn into a final software product. So, you start with a low financial expenditure, test the clients’ behavior and you build the website based on the analysis.
Eric Ries, the originator of the concept, explains that MVP allows you to get the maximum amount of information about consumers with minimum own involvement. If there is a product/service that you want to introduce to the market, it is best to test the idea with real users before you invest a lot of money. After all, you never know if the offer will suit the consumer’s need and cause the desire to purchase your products/services.
You gain a lot:
The first step is to make sure that the website will implement the company’s strategic goals. In other words, answer the question: where do you want to be with your business idea, e.g. in six months, and how can your website help to get you there? So, what tasks does the website have to perform first?
Here, you should also specify how to measure the effectiveness. Your goal should be measurable. The number of visits, completed contact forms, phone calls received, subscriptions to the newsletter, and volume of sales. In addition, it is worth to analyse which subpages are visited most often, what are the sources of traffic (does the user visit the website directly by entering its address, by entering a phrase and going through a search engine, or by a link from another website), what is the time spent on the website and finally – what is the bounce rate.
The second step is to develop the user path. Imagine you are an external user of the website. Plan the path from entering the website to the final destination (e.g. purchase of a product). Thanks to this you will realise what will be optimal for the visitors, which may discourage them, what action they will have to take. This way you will acquire the knowledge that will be necessary for the developers who will carry out the Drupal development works.
To perform the above task well, you must define your client. Because of different categories of users will use your website, you have to take this into account. And if they are actually different profiles, it will translate into a “journey” around the website and a different path to the destination.
The third step is the result of the previous one. Knowing what needs improvement, develop a diagram: problem → action → solution. For example: lack of the ability to choose the best one from among many products on your website → creation of a comparison tool → option to view products side by side.
By preparing the analysis in this way, you will create a list of all elements that need improvement.
The fourth step is also the result of the previous one – as you can see, this process is just a series of events. Therefore, having the above-mentioned knowledge, you can now decide what functionalities the website must have in order to achieve the goals and minimise the defined problems.
Point out the tools (functionalities) that will be necessary on your website. It is important to set a priority for each one of them. Helpful here might be the question: what does my user want and what does my user need? Referring to the previous example: the user must have a comparison tool to select a product but does not need to have dozens of filters to execute this view. So, what kind of filters should these be? The answer is short: the essential ones.
Droopler is a great example. It is a kind of a template that lets you quickly get the work started, adjust the content, layout and appearance of the website. By keeping the MVP methodology in mind, you will accomplish all of your goals, whether your project is a start-up or a corporate website.
From the very start, Droopler provides you with a concrete and effective programming language, which is Drupal. And thanks to the fact that Drupal is OpenSource software, you do not have to worry about the costs of implementing additional tools (you do not incur license fees), which would result from subsequent iterations.
Droopler has extensive functions for adding subpages, sections, modules. It is fully responsive, so from the very beginning, you have access to a preview of the website on mobile devices. Its HTML code is optimised for SEO and fully ready for being integrated with other SEO tools.
And finally: thanks to sharing the Droopler test environment on request, you can see for yourself what managing and introducing changes look like.
Preparation and implementation of MVP is the end and the beginning of a stage. After implementing MVP, the time comes for further analysis. Collect opinions, verify user behavior, identify weak points of the website, make changes, test until you get the final version of your website. And if you still have doubts about whether to use MVP, I would like you to know that MVP is a solution chosen by companies such as Airbnb, Amazon, Dropbox, Etsy, Facebook, Groupon, Twitter, Uber, Zappos, and even iPhone.
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The toolset is a key step before the CNC turns off parts. Accurate and fast tool-setting methods are an important prerequisite for ensuring the precision and efficiency of CNC turning. Taking the external contour and internal contour tools commonly used in CNC turning as examples, combined with virtual simulation software, the tool setting methods of various turning tools are deeply explored, providing a theoretical basis and simulation reference for tool setting for operators engaged in CNC turning.
The CNC lathe processes parts by formulating the processing plan according to the technical requirements of the part drawing and then compiling the corresponding CNC program in the prescribed program format and code. The CNC program controls the movement of the moving parts of the machine tool to complete the processing of the parts. The CNC program is compiled according to the coordinates of each node on the part drawing, and the coordinate position of each node is determined according to the spatial orientation of the workpiece coordinate system established by the corresponding tool.
Establishing the workpiece coordinate system on the CNC lathe is the process of tool setting, which will directly affect the processing accuracy and efficiency of the parts. This article takes the outer contour tool and inner contour tool commonly used for shaft parts as an example, and explores various commonly used tool setting methods through CNC simulation processing software.
Common tools for machining the external contours of shaft parts include external turning tools, external grooving tools, and external threading tools. Generally, the tool setting is carried out by the trial cutting method, which is convenient and fast and does not require the addition of auxiliary tooling.
There are many types of external turning tools, such as straight external turning tools, 45° elbow external turning tools, 90° elbow external turning tools, etc. Take the 90°elbow external turning tool as an example. Open the Swan CNC simulation software and select the material 08F low-carbon steel of the FANUC0iT system default material for the blank.
The turning tool generally establishes its workpiece coordinate system origin at the center point of the right end face of the workpiece. The workpiece axial direction is the Z direction and the radial direction is the X direction. Before the external turning tool (T01) is set up for trial cutting, first start the spindle, enter “M03S300” in the [MDI] mode, and execute, as shown in Figure 1 (a); then move the tool manually feed to complete the trial cutting of the right end face of the workpiece, as shown in Figure 1 (b).
Open the [OFFSET SETTING] function on the control panel, and in the [TOOL COMPENSATION/GEOMETRY] interface, define the Z coordinate of the current position of the tool as “Z0”, as shown in Figure 2 (a), and click the gray square button under [MEASURE]. The measurement result is shown in Figure 2 (b). The Z-axis tool setting of the external cylindrical turning tool is now completed.
Figure 1 Z-axis tool setting
Figure 2 Z-axis tool setting parameter settings
The tool retracts in the +X direction, and the X-axis trial cutting positioning is completed during the retracting process, as shown in Figure 3 (a); after positioning, the tool advances in the -Z direction to complete the outer circle trial cutting, as shown in Figure 3 (b).
After the outer circle trial cutting has a certain axial distance, the tool retracts an appropriate distance along the +Z direction, as shown in Figure 4 (a); stop the spindle rotation, open the [Workpiece Measurement] command in the main menu, and use a vernier caliper to measure the outer circle diameter after the trial cutting, as shown in Figure 4 (b).
Open the [Tool Compensation/Geometry] interface, define the X coordinate of the current position of the tool as the measured outer diameter as shown in Figure 4 (b), and enter “X79.482”, as shown in Figure 5 (a); click the gray square button under [Measure] to obtain the measurement result as shown in Figure 5 (b).
The external turning tool alignment is completed at this point, and the tool holder performs the [Return to Origin] operation.
Figure 3 X-axis test cutting and tool setting
Figure 4 X-axis tool setting process
Figure 5 X-axis tool setting parameter settings
Turn the tool holder clockwise to turn the external grooving tool (T02) to the processing position. The external grooving tool is also aligned by trial cutting the end face and the outer circle.
Start the spindle, move the tool holder, and make the blade of the external grooving tool lightly touch the end face of the workpiece, as shown in Figure 6 (a); keep the tool still, open the parameter setting page, select the [002] position of [Number], and enter “Z0” for [Measurement], as shown in Figure 6 (b).
Figure 6 External grooving tool Z-axis tool setting
Adjust the tool position and let the external grooving tool test cut the outer circle of the workpiece, as shown in Figure 7 (a); then withdraw the tool in the +Z direction, stop the spindle rotation, measure the diameter of the outer circle tested by the external grooving tool, and input the measured data to the corresponding position, as shown in Figure 7 (b) “X79.130”, and click the gray square button under [Measure]. At this point, the external grooving tool is set up and the tool holder performs the [Return to Origin] operation.
Figure 7 External grooving to cool X-axis tool alignment
Turn the tool holder clockwise again, turn the external thread cutter (T03) to the processing position, and move the tool holder. When the tool is close to the workpiece, reduce the feed speed until the tip of the external thread cutter is flush with the end face of the workpiece, as shown in Figure 8 (a), and pause the tool holder feed movement; open the parameter setting interface, select the [003] position of [number], and assign the current position of the tool to “Z0” for [measurement].
In manual feed mode, fine-tune the tool position so that the tip of the external thread cutter slightly touches the processed outer cylindrical surface, as shown in Figure 8 (b), and define the current position of the tool as the workpiece diameter measured after those above 1.2 external grooving cutter (T02) tried cutting the outer circle in the parameter setting interface. At this point, the external thread cutter has been aligned and the tool holder needs to [return to origin]
Figure 8 External thread cutter setting
The above is the tool setting process of the external contour machining tools commonly used for shaft parts.
Common tools for inner contour machining of shaft parts include inner hole turning tools, inner grooving tools, and inner threading tools. The tool setting of these tools is also the process of establishing the origin of the workpiece coordinate system at the center point of the right end face of the workpiece.
An internal hole-turning tool (T01) is commonly known as a “boring tool”. Before boring tool setting, the drill has completed the center hole drilling process.
Open the [Quick Positioning] function under the [Machine Tool Operation] command in the main menu, select the center point of the workpiece, click the [OK] button, and get the processing window as shown in Figure 9 (a); open the [Tool Correction/Geometry] interface, assign the current position of the boring tool to “X0”, and perform the [Measurement] operation on it. The result is shown in Figure 9 (b).
Figure 9 Boring tool X-axis tool setting
Fine-tune the boring tool position so that it lightly touches the right end face of the workpiece, as shown in Figure 10 (a); open the parameter setting interface, assign the current position of the boring tool to “Z0” and measure, and the operation result is shown in Figure 10 (b). At this point, the internal hole turning tool (boring tool) is set, and the tool holder needs to perform the [return to origin] operation.
Figure 10 Boring cutter Z-axis tool alignment
Turn the tool holder clockwise to move the internal grooving tool (T02) to the processing position. After starting the spindle, use the [Fast Positioning] command to quickly move it to the center point of the right end face of the workpiece, as shown in Figure 11 (a), and assign the current position to “X0” in [Number] [002] of the [Tool Compensation/Geometry] interface and measure.
Slightly move the internal grooving tool so that its tool position touches the right end face of the workpiece, as shown in Figure 11 (b), and assign the current position to “Z0” and measure. At this point, the internal grooving tool alignment is completed, and the tool holder needs to perform the [Return to Origin] operation.
Turn the tool holder clockwise to move the internal thread cutter (T03) to the processing position. After starting the spindle, use the [Quick Positioning] command to quickly move it to the center point of the right end face of the workpiece, as shown in Figure 12 (a). In the [Number] [003] of the [Tool Compensation/Geometry] interface, assign the current position to “X0” and measure it.
Fine-tune the position of the internal thread cutter until the tip of the internal thread cutter is flush with the right end face of the workpiece, as shown in Figure 12 (b). Pause the tool feed movement, assign the current position to “Z0” in [Number] [003] of the [Tool Compensation/Geometry] interface, and perform the measurement. At this point, the internal thread cutter is aligned and the tool holder needs to perform the [Return to Origin] operation.
Figure 11 Internal grooving tool alignment
Figure 12 Internal thread cutter setting
The above is the tool setting process of the internal contour machining tools commonly used for shaft parts.
Before CNC turning, it is necessary to establish a workpiece coordinate system. The accuracy of setting the workpiece coordinate system operation is the main factor affecting the part processing accuracy and processing efficiency. This article takes the common external contour turning tools and internal contour turning tools in shaft parts processing as examples and explores in detail the tool setting methods, operation processes, and precautions of various tools. It lists the theoretical basis and simulation reference for the tool setting of various common external contour turning tools and internal contour turning tools, which provides a reference for operators engaged in CNC turning.
Keyword: flange machining